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STARMAP
Space-Time Aquatic Resources Modeling and Analysis Program
ACCUMULATIVE SUMMARY OF OUTPUTS
COPYRIGHT NOTE: Most of the publications and accepted manuscripts listed immediately below appear in scientific journals which require authors to assign copyright to the journals’ publisher. In all such cases, the publications have been submitted to EPA in printed form, because they can not legally be submitted electronically. The links appearing after such citations provide access to information about the respective publications. If they are accessed through internet paths which have suitable access rights the whole publication will be available electronically.
Most citations referencing uncopyrighted material have links to files on the CD ROM disk on which this access file is located. Although a substantial effort has been made to locate presentation files, many of the presenters left the program some time ago, and their files have not always been found. In one case of active, but as yet unpublished, research the student and advisor deemed it inappropriate to circulate the research plan prior to completion of the research and its subsequent publication.
PUBLICATIONS and ACCEPTED MANUSCRIPTS:
♦ Breidt, F.J., J.D. Opsomer, A.A. Johnson, and M.G. Ranalli. Semiparametric model-assisted estimation for natural resource surveys. To appear in Survey Methodology (Accepted November 29, 2006).
♦ Theobald, D.M., D.L. Stevens, Jr., D. White, N.S. Urquhart, A.R. Olsen, and J.B. Norman. Using GIS to generate spatially-balanced random survey designs for natural resource applications. To appear in Environmental Management (Accepted July 17, 2006).
♦ Opsomer, J.D., F.J. Breidt, G.G. Moisen, and G. Kauermann (2007). Model-assisted estimation of forest resources with generalized additive models. To appear in the Journal of the American Statistical 101: as a Discussed Paper in Applications and Case Studies.
♦ Peterson, E.E., D.M. Theobald, and J.M. Ver Hoef (2007). Support for geostatistical modeling on stream networks: Developing valid covariance matrices based on hydrologic distance and stream flow. To appear in Freshwater Biology (November, 2006).
♦ Andrews, B., R.A. Davis, and F.J. Breidt (2007). Rank-based estimation for all-pass time series models. To appear in the Annals of Statistics April, 2007 {Web link to publication information}
♦ Urquhart, N.S. (2007). Introduction to this special issue on the application of spatial statistics to agriculture, ecology, and the environment. Environmental and Ecological Statistics 14:
♦ Ritter, K.J. and M.K. Leecaster (2007). Multi-Lag cluster enhancement of fixed grid sample designs for estimating the variogram in near coastal systems. Environmental and Ecological Statistics 14: .
♦ Gitelman, A.I. and A.T. Herlihy (2007). Isomorphic chain graphs for modeling spatial dependence in ecological data. Environmental and Ecological Statistics 14: .
♦ Dailey, M.C., A.I. Gitelman, F.L. Ramsey, and S. Starcevich. Habitat selection models to account for seasonal persistence in radio telemetry data. Environmental and Ecological Statistics 14: .
♦ Theobald, D.M. and J.B. Norman (2007). FLoWS (Functional Linkage of Water basins and Streams): ArcGIS tools for network-based analysis of freshwater ecosystems. HydroLine, ESRI Press (in press).
♦ Breidt, F.J., N.-J. Hsu, and S.M. Ogle (2006). Semiparametric mixed models for increment-averaged data with application to carbon sequestration in agricultural soils. To appear in the Journal of the American Statistical Association
♦ Brockwell, P.J., R.A. Davis, and V. Yang (2006). Continuous-time Gaussian autoregression. To appear in Statistica Sinica .
♦ Wang, H. and M.G. Ranalli (2006). Low-rank smoothing splines on complicated domains. To appear in Biometrics 62:
♦ da Silva, D.N. and J.D. Opsomer (2006). A kernel smoothing method to adjust for unit nonresponse in sample surveys. To appear in the Canadian Journal of Statistics 34:.
♦ Francisco-Fernandez, M., M. Jurado-Exposito, J.D. Opsomer, and F. Lopez-Granados (2006). A nonparametric analysis of the distribution of Convolvulus arvensis in wheat-sunflower rotations. Environmetrics 17:849-860.
♦ Breidt, F.J., N.-J. Hsu, and W.J. Coar (2006). A diagnostic test for autocorrelation in increment-averaged data with application to soil sampling. To appear in Environmental and Ecological Statistics 13:.
♦ Ver Hoef, J.M., E.E. Peterson, and D.M. Theobald (2006). Spatial statistical models that use flow and stream distance. Environmental and Ecological Statistics 13: 449-464. {Web link to abstract; access to article requires access to SpringerLink }
♦ Peterson, E.E. and N.S. Urquhart (2006). Predicting water quality impaired stream segments using landscape-scale data and a regional geostatistical model: A case study in Maryland. Environmental Monitoring and Assessment 121:613-636{Web link to abstract; access to article requires access to SpringerLink}.
♦ Peterson, E.E., A.A. Merton, D.M. Theobald, and N.S. Urquhart (2006). Patterns of spatial autocorrelation in stream water chemistry. Environmental Monitoring and Assessment 121: 569-594 { Web link to abstract; access to article requires access to SpringerLink.}.
♦ Pratesi, M., N. Salvati, and M.G. Ranalli. P-splines M-quantile small area estimation: assessing the ecological conditions of lakes in the Northeastern US. Proceedings, Conference on Spatial Data Methods for Environmental and Ecological processes, Foggia, Italy, September 14-15, 2006
♦ Thomas, D.E., D.S. Johnson, and B. Griffith (2006). A Bayesian random effects discrete-choice model for resource selection: Population-level selection inference. Journal of Wildlife Management 70: 404-412. {Web link to abstract; article available to subscribers to JWM}
♦ Farnsworth, M.L., J.A. Hoeting, N.T. Hobbs, and M.W. Miller (2006). Linking chronic wasting disease to mule deer movement scales: A hierarchical Bayesian approach. Ecological Applications 16: 1026–1036. {Web link}
♦ Stevens, D.L., Jr. (2006). Spatial properties of design-based versus model-based approaches to environmental sampling. ACCURACY 2006: Proceedings of the 7th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences. July 5-7, 2006, Lisbon, Portugal pp 119-125 of 908.
♦ Andrews, B., R.A. Davis, and F.J. Breidt (2006). Maximum likelihood estimation for all-pass time series models. Journal of Multivariate Analysis 97: 1638-1659 {Web link}
♦ Hoeting, J.A., R.A. Davis, A.A. Merton, and S.E. Thompson (2006). Model selection for geostatistical models. Ecological Applications 16: 87-98. {Web link}
♦ Theobald, D.M. (2006). Exploring the functional connectivity of landscapes using landscape networks. To appear in: Crooks, K.R. and M.A. Sanjayan (eds.). Pp 416-444 in Connectivity Conservation: Maintaining Connections for Nature. Cambridge University Press. 726 pages. (Web link to information about this book)
♦ Davis, R.A., T.C.M. Lee, and G. Rodriguez-Yam (2006). Structural break estimation for nonstationary time series models. Journal of the American Statistical Association 101: 223-239. { Web link to abstract; subscription access to JASA is required to view article.}
♦ Johnson, D.S., J.A. Hoeting, and N.L. Poff (2006). Biological monitoring: A Bayesian model for multivariate compositional data. pp 270-289 in Bayesian Statistics and its Applications, Eds. S. K. Upadhyay, U. Singh and D. K. Dey. Anamaya publishers: New Delhi. {Web link to abstract; book description}
♦ Hoeting, J.A. (2006). Some perspectives on modeling species distributions. Discussion of article by A.E. Gelfand, J.A. Silander, S. Wu, A. Latimer, P.O. Lewis, A.G. Rebelo, M. Holder. Bayesian Analysis 1: 93-98. {Web link}
♦ Breidt, F.J., G. Claeskens, and J.D. Opsomer (2005). Model-assisted estimation for complex surveys using penalized splines. Biometrika 92: 831-846. {Web link to article}
♦ Davis, R.A., T.C.M. Lee, and G.A. Rodriguez-Yam (2005). Structural break estimation for nonstationary time series signals. Proceedings of IEEE/SP 13th Workshop on Statistical Signal Processing, Bordeaux, France, July, 2005. {Web link to book of abstracts; abstract on page 12; web link to article}
♦ Montanari, G.E. and M.G. Ranalli (2005). Nonparametric methods for sample surveys of environmental populations. Proceedings of the Meeting of the Italian Statistical Society on Statistics and the Environment. September 21-23, 2005, Messina, Italy CLEUP: 147-158. {Web link}
♦ Davis, R.A. and G.A. Rodriguez-Yam (2005). Estimation for state-space models based on a likelihood approximation. Statistica Sinica 15: 381-406. {Web link}
♦ Breidt, F.J. and N.-J. Hsu (2005). Best mean square prediction for moving averages. Statistica Sinica 15: 427-446. {Web link}
♦ Givens, G.H. and J.A. Hoeting (2005). Computational Statistics. John Wiley & Sons, NewYork, 418 pages. {Web link to information about this book}
♦ Francisco-Fernandez, M. and J.D. Opsomer (2005). Smoothing parameter selection methods for nonparametric regression with spatially correlated errors. Canadian Journal of Statistics 33: 279-295. {Web link to abstract; subscription access to ingentaconnect is required to view article.}
♦ Opsomer J.D. and C.P. Miller (2005). Selecting the amount of smoothing in nonparametric regression estimation for complex surveys. Journal of Nonparametric Statistics 17: 593-611. {Web link to abstract; article available for purchase there}
♦ Theobald, D.M. , J.B. Norman, E.E. Poston, and S.B. Ferraz.( 2005). Functional linkage of watersheds and streams: ArcGIS FLoWS tools. Proceedings, ESRI User Conference 2005. {Web Link to paper}
♦ Montanari, G.E. and M.G. Ranalli (2005). Nonparametric model calibration estimation in survey sampling. Journal of the American Statistical Association 100: 1429-1442. {Web link to abstract; subscription access to JASA is required to view article.}
♦ Reese, G.C., K.R. Wilson, J.A. Hoeting, and C.H. Flather (2005). Factors affecting the accuracy of predicted species distributions: A simulations experiment. Ecological Applications 15: 554-564. {Web link to article}
♦ Hall, P. and J.D. Opsomer (2005). Theory for penalised spline regression. Biometrika 92: 105-118. {Web link to article}
♦ Kauermann, G. and J.D. Opsomer (2004). Generalized cross-validation for bandwidth selection of backfitting estimators in generalized additive models. Journal of Computational and Graphical Statistics 13: 66-89. {Web link to abstract; subscription access to JCGS is required to view article.}
♦ Opsomer, J.D., F.J. Breidt, G. Claeskens, G. Kauermann, and M.G. Ranalli (2004). Nonparametric small area estimation using penalized spline regression. Proceedings of the Section on Survey Research Methods [CD-ROM], Alexandria, VA. American Statistical Association: 4127-4134.
♦ Kahl, J.S., J.L. Stoddard, R. Haeuber, S.G. Paulsen, R. Birnbaum, F.A. Deviney, J.R. Webb, D.R. DeWalle, W. Sharpe, C.T. Driscoll, A.T. Herlihy, J.H. Kellogg, P.S. Murdoch, K. Roy, K.E. Webster, and N.S. Urquhart (2004). How have U.S. surface waters responded to the 1990 Clean Air Act Amendments? Feature article, Environmental Science and Technology 38: 484A-490A. {Web link to article}
♦ Courbois, J.P. and N.S. Urquhart (2004). Comparison of survey estimates of the finite population variance. Journal of Agricultural, Biological and Environmental Statistics 9: 236-250. { Web link to abstract; subscription access to JABES is required to view article.}
♦ da Silva, D.N. and J.D. Opsomer (2004). Properties of the weighting cell estimator under a nonparametric response mechanism. Survey Methodology 30: 45-55. {Web link to article}
♦ Kincaid, T. M., D.P. Larsen, and N.S. Urquhart (2004). The structure of variation and its influence on the estimation of status: Indicators of condition of lakes in the Northeast, U.S.A. Journal of Environmental Monitoring and Assessment 98: 1-21. {Web link to article}
♦ Larsen, D.P., P.K. Kaufmann, T.M. Kincaid, and N.S. Urquhart (2004). Detecting persistent change in the habitat of salmon-bearing streams in the Pacific Northwest. Canadian Journal of Fisheries and Aquatic Sciences 61: 283-291.{Web link to article}
♦ Waite, I.R., A.T. Herlihy, D.P. Larsen, N.S. Urquhart, and D.J. Klemm (2004). The effects of macroinvertebrate taxonomic resolution in large landscape bioassessments: an example from the Mid-Atlantic Highlands, U.S.A. Freshwater Biology 49: 474–489. {Web link to abstract; subscription access to ingentaconnect is required to view article.}
♦ Urquhart, N.S. and J.C. Moore (2004). Statistics in EPA’s STAR Program: Learning materials for surface water monitoring. OPPTS Tribal News 4(3): 45 - 46. (EPA 745-N-00-001) {Link}
♦ Opsomer, J.D., C. Botts and, J.Y. Kim (2003). Small Area estimation in a watershed erosion assessment survey. Journal of Agricultural, Biological and Environmental Statistics 8:139-152. { Web link to abstract; subscription access to JABES is required to view article.}
♦ Opsomer, J.D. and F.J. Breidt (2003). Nonparametric estimation in complex surveys with auxiliary information. Proceedings of the 54th Session of the International Statistical Institute. Available only on conference CD {Web link - not currently active}
♦ Johnson, D.S. and J.A. Hoeting (2003). Autoregressive Models for Capture-Recapture Data: A Bayesian Approach. Biometrics 59: 341-350. { Web link to abstract; subscription access to Biometrics is required to view article.}
♦ Davis, R.A., W.T.M. Dunsmuir, and S.B. Streett (2003). Observation driven models for Poisson counts. Biometrika 90: 770-790. {Web link to article}
♦ Hoeting, J.A. (2002). Methodology for Bayesian model averaging: An update. Proceedings of invited paper presentations, International Biometric Conference, Freiburg, Germany, pp 231-240. {Link}
♦ Larsen, D.P., T.K. Kincaid, S.E. Jacobs, and N.S. Urquhart (2001). Designs for evaluating local and regional scale trends. Bioscience 51: 1069-1078. {Web link to abstract; subscription access to ingentaconnect is required to view article.}
SOFTWARE
♦ Theobald, D.M., J.B. Norman, and M.R. Sherburne (2006). FunConn v1: Functional connectivity tools for ArcGIS v9. Natural Resource Ecology Lab, Colorado State University. {Tools are web-available through this link}
♦ Theobald, D.M. and J.B. Norman (2006). Spatially-balanced Sampling (RRQRR). Natural Resource Ecology Lab, Colorado State University. {Tools are to be web-available through this link}
♦ Harrod, L.A. and V.M. Lesser. Ignorable Nonresponse Adjustment Procedures and Algorithms. Department of Statistics, Oregon State University. March 2, 2006. 44 pages. This Technical Report contains 12 pages of copyable computer code (SAS, S+, & R) relevant to this topic.{Link}
♦ Theobald, D.M., J.B. Norman, E.E Peterson, and S.B. Ferraz (2005). FLoWS v1: Functional Linkage of Watersheds and Streams tools for ArcGIS v9. Natural Resource Ecology Lab, Colorado State University. {Tools are web-available through this link}
♦ Merton, A.A., J.A. Hoeting, and R.A. Davis (2004). Model Selection for Geostatistical Models. Software to compute AIC and MDL for geostatistical models for R. {Tool is web-available through this link}
SUBMISSIONS
♦ Park, M.S. and J.A. Hoeting. Spatial neighborhood order determination for gaussian markov random fields. Submitted to the Journal of Statistical Planning and Inference (December 1, 2006)
♦ Huang, H.-C., N.-J. Hsu, D.M.Theobald, and F.J. Breidt. Spatial Lasso with applications to GIS model selection. J. Computational and Graphical Statistics. Submitted, October, 2006
♦ Johnson, A.A., F.J. Breidt, and J.D. Opsomer. Estimating distribution functions from survey data using nonparametric regression. Preprint Series #04-07, Department of Statistics, Iowa State University. Submitted to the Journal of Nonparametric Statistics (September 20, 2006)
♦ Irvine, K.M., A.I. Gitelman, and J.A. Hoeting. Spatial designs and strength of spatial signal: effects on covariance estimation. Revision under review by Journal of Agricultural, Biological and Environmental Statistics (August, 2006); also awarded 2nd place honorable mention in the student paper competition sponsored by the Section on Statistics in the Environment of the American Statistical Association.
♦ Breidt, F.J., J.D. Opsomer, A.A. Johnson, and M.G. Ranalli. Semiparametric model-assisted estimation for natural resource surveys. Preprint Series #05-05, Department of Statistics, Iowa State University. Resubmitted to Survey Methodology. (2006).
♦ Ranalli, M.G. and H. Wang. Application of graph theory to data mining: Curvilinear features extraction. Resubmitted to the Journal of Computational and Graphical Statistics (July, 2006).
♦ Opsomer, J.D., G. Claeskens, M.G. Ranalli, G. Kauermann, and F.J. Breidt. Nonparametric small area estimation using penalized spline regression. Preprint Series #05-01, Department of Statistics, Iowa State University. Resubmitted to the Journal of the Royal Statistical Society, Series B (2006) {Link}
♦ Davis, R.A., T.C.M. Lee, and G.A. Rodriguez-Yam. Break detection for a class of nonlinear time series models. (Submitted, 2005).
♦ Opsomer, J.D. and M. Francisco-Fernandez. Finding local departures from a parametric model using nonparametric regression. Submitted to Test (2005). Available as preprint Series #05-02, Department of Statistics, Iowa State University.
♦ Kim, J.-Y., F.J. Breidt, and J.D. Opsomer. Nonparametric regression estimation of finite population totals under two-stage sampling. Under revision for Survey Methodology. Available as Preprint Series #03-06, Department of Statistics, Iowa State University.
MANUSCRIPTS
♦ Park, M.S. and M. Fuentes. A new class of asymmetric spatio-temporal covariance models. Winner of the student paper competition sponsored by the Section on Statistics in the Environment of the American Statistical Association (Feb, 2006). In preparation for the Journal of the American Statistical Association.
♦ Johnson, D.S., J.A Hoeting. A note on marginalization in chain graph models. In prep for Statistics and Probability Letters.
♦ Johnson D.S., J.A. Hoeting, and B.S. Fadley. Random effects graphical regression models for multidimensional categorical data. In prep for Scandinavian Journal of Statistics 2006
♦ Park, M.S. and J.A. Hoeting. Gaussian Markov random field with appropriate order of neighborhood. Working paper, 2006.
♦ Irvine, K.M. and A.I. Gitelman. Multi-scale analysis: Implications for modeling presence/absence of species. Under revision.
♦ Urquhart, N.S. and M.J.C. Kearsley. Executing a spatially balanced sampling design along the Colorado River in Grand Canyon National Park, AZ (in preparation)
♦ Johnson, D.S. and J.A. Hoeting. Bayesian inference for geostatistical regression models. Under revision.
♦ Williams, S.J. and N.S. Urquhart. Comparing a Design-based vs Model-Based Estimator of Variance for Environmental Studies. In preparation for the Journal of Agricultural, Biological and Environmental Statistics (November, 2006)
♦ Theobald, D.M., J.B. Norman, and D. Merritt (2006). Estimating aquatic fragmentation (in preparation for Bioscience).
♦ Rodriguez-Yam, G., R.A. Davis, and L.L. Scharf. Efficient Gibbs Sampling for constrained linear regression. Under revision (2006).
♦ Park, M.S. and M. Fuentes. Testing lack of symmetry in spatial-temporal processes, working paper. (2006)
♦ Opsomer, J.D. and M.G. Ranalli. Estimating nonresponse probabilities with p-splines. Working paper.
♦ Jensen, S. and A.I. Gitelman. Fitting graphical models: Some computational consideration. working paper
♦ Johnson, D.S. and J.A. Hoeting. Random effects graphical models for multiple site sampling. Under revision. Available at http://www.stat.colostate.edu/research/2003_15.pdf
♦ Everson-Stewart, S., F.J. Breidt, and J.D. Opsomer. Nonparametric survey regression estimation in two-stage spatial sampling. Working paper. {Link}
♦ Hsu, N.-J. and F.J. Breidt (2005). Exact maximum likelihood estimation for non-Gaussian non-invertible moving averages. Working paper (2005) {Link}
♦ Delorey, M.J. and F.J. Breidt. Spatial ensemble estimates of temporal trends. Dec, 2006.
♦ Delorey, M.J. and F.J. Breidt. Semiparametric, model-assisted estimation using a two-stage sampling design. Dec, 2006.
♦ Theobald, D.M. and S.B. Ferraz. Hydrologic-weighting for functional watershed modeling. Journal of American Water Resources Association (in preparation).
♦ Theobald, D.M. Catchment areas, not watersheds: Flexible definition of watersheds to understand aquatic resources. (in preparation).
♦ Huang, H.-C., N.-J. Hsu, D.M. Theobald, and F.J. Breidt. Spatial Lasso with applications to GIS model selection. In final preparation for submission to the Journal of Computational and Graphical Statistics. {Link}
♦ Ranalli, M.G., H. Walker and H. Wang, As the crow flies or as the fish swims? A nonparametric bootstrap approach for spatial smoothing
TECHNICAL REPORTS
♦ Williams, S.J. (2006). A Comparison of Variance Estimates of Stream Network Resources. Masters Project Report, Department of Statistics, Colorado State University. {Link}
♦ Theobald, D.M. and J.B. Norman (2006). Spatially-Balanced Sampling Using the Reversed Randomized Quadrant-Recursive Raster Algorithm: A User's Manual for the RRQRR ArcGIS v9 tool. Natural Resource Ecology Lab, Colorado State University, Fort Collins, CO.
♦ Theobald, D.M., J.B. Norman, E.E. Peterson, S.B. Ferraz, A. Wade, and M.R. Sherburne (2006). Functional Linkage of Water Basins and Streams (FLoWS) v1 User’s Manual: ArcGIS Tools for Network-based Analysis of Freshwater Ecosystems. Natural Resource Ecology Lab, Colorado State University, Fort Collins, CO. 43 pages. {Link}
♦ Theobald, D.M., J.B. Norman, and M.R. Sherburne (2006). FunConn v1 User’s Manual: ArcGIS Tools for Functional Connectivity Modeling. Natural Resource Ecology Lab, Colorado State University. 51 pages. {Link}
♦ Harrod, L.A. and V.M. Lesser. Ignorable Nonresponse Adjustment Procedures and Algorithms. Technical Report, Department of Statistics, Oregon State University. March 2, 2006. 44 pages. {Link}
♦ Araas, J.F. (2005). EMAP West Training Presentations. Masters Project Report, Department of Statistics, Colorado State University, {Parts are accessible separately: Link to text (48K); Link to Materials (16.2M)}
♦ Smith, J.J. (2005). Modeling and Predicting Median Substrate Size in Oregon and Washington Streams Utilizing Geographic Information Systems. Masters Project Report, Department of Statistics, Colorado State University. {Link}
♦ Peterson, E.E. (2005). Predicting the Likelihood of Water Quality Impaired Stream Segments Using Landscape-scale Data and a Hierarchical Methodology. Doctoral Dissertation, Department of Geosciences, Colorado State University. {Link}
♦ Johnson, D.S. (2005). Bayesian Inference for Geostatistical Regression Models. Technical Report, Department of Statistics, Colorado State University, Fort Collins, CO {Link}
♦ French, J. (2005). Exploring Spatial Correlation in Rivers. Masters Project Report, Department of Statistics, Colorado State University, Fort Collins. 60pp {Link}
♦ Lowe, S., B.E. Thompson, R. Hoenicke, J.E. Leatherbarrow, K. Taberski, R.W. Smith, and D.L. Stevens, Jr. (2005). Re-design Process of the San Francisco Estuary Regional Monitoring Program for Trace Substances (RMP) Status and Trends Monitoring Component for Water and Sediment. Contribution 109, San Francisco Estuary Institute, 7770 Pardee Lane, Oakland, CA 94621. {Web link}
♦ Johnson, D.S. (2003). Random Effects Graphical Models for Discrete Compositional Data. Doctoral Dissertation, Department of Statistics, Colorado State University. {Link}
♦ Scarzella, G. (2003). Learning Materials for Surface Water Monitoring. Masters Project Report, Department of Statistics, Colorado State University, Fort Collins. 91pp {Link to text (455K); Link to complete materials (10M)}
♦ Everson-Stewart, S. (2003). Nonparametric Survey Regression Estimation in Two-Stage Spatial Sampling. Masters Project Report, Department of Statistics, Colorado State University, Fort Collins. 49pp {Link}
♦ Johnson, A.A. (2003). Estimating Distribution Functions from Survey Data Using Nonparametric Regression. Masters Project Report, Department of Statistics, Colorado State University, Fort Collins. 69pp. {Link}
♦ Johnson, S.W. (2003). Needs Assessment of Tribal Requirements for Instruction in the Use of Statistically-Based Aquatic Water Quality Monitoring Techniques. Water Quality Technology, Inc., Fort Collins, CO. 12pp. {Link}
♦ Kellum, B. (2002). Analysis and Modeling of Acid Neutralizing Capacity in the Mid-Atlantic Highlands Area. Masters Project Report, Department of Statistics, Colorado State University, Fort Collins. 69pp {Link}
♦ Johnson, D.S. and J.A. Hoeting (2001). Autoregressive Models for Capture-Recapture Data: A Bayesian Approach. Technical Report 2001-10, Department of Statistics, Colorado State University {Link}
PRESENTATIONS:
{Note: The first author listed in the citations below gave the presentation, unless subsequent author is marked with an * as the presenter.}
♦ Merton, A.A. Geostatistical Models: Model Selection and Parameter Estimation Under Infill and Expanding Domain Asymptotics. Doctoral Seminar, Department of Statistics, Colorado State University, October 30, 2006 {Link}
♦ Williams, S.J. A Comparison of Variance Estimates of Stream Network Resources. Masters Seminar, Department of Statistics, Colorado State University, October 25, 2006 {Link}
♦ Urquhart, N.S. Designing Monitoring Surveys Over Time (Panel Surveys): Power, Variance, and Related Topics. Seminar, Department of Statistics, Kansas State University, October 19, 2006 {Link}
♦ Higgs, M.D. Bayesian Models for Ordered Categorical Spatial Data and Categorical Habitat Data. Seminar, Department of Statistics, Colorado State University, September 28, 2006
♦ Opsomer, J.D. Nonparametric Variance Estimation for Systemic Samples. Seminar, Department of Statistics, Colorado State University, September 18, 2006
♦ Davis, R.A., T.C.M. Lee, and G.A. Rodriguez-Yam. Structural Break Detection in Time Series Models. Seminar, National Center for Atmospheric Research, Institute for Mathematics Applied to Geosciences, September 15, 2006{Link}
♦ Ritter, K.J., K.C. Schiff, N.S. Urquhart, D. Olson, A. Groce, and T. Stebbins. Mapping Chemical Contaminants in Oceanic Sediments Around Point Loma’s Treated Wastewater Outfall. California and the World Ocean Conference 2006, as part of the Seafloor mapping session. September 17-20, 2006 {Conference link} {Presentation materials link}
♦ Pratesi, M., N. Salvati, and M.G. Ranalli. P-splines M-quantile Small Area Estimation: Assessing the Ecological Conditions of Lakes in the Northeastern US. Conference on Spatial Data Methods for Environmental and Ecological processes, Foggia, Italy, September 14-15, 2006
♦ Davis, R.A., T.C.M. Lee, and G.A. Rodriguez-Yam. Structural Break Detection for a Class of Time Series Models. Plenary speaker, International Conference on Statistics, Combinatorics, and Related Areas, Tomar, Portugal, September 1-4, 2006 {Link}
♦ Breidt, F.J., R.A. Davis, N.-J. Hsu, and M. Rosenblatt. Another Look at Estimation for MA(1) Processes with a Unit Root. Prague Stochastics 2006, Prague, The Czech Republic, August 21-25, 2006 {Link}
♦ Coar, W.J. and F.J. Breidt. Smoothing Through State-Space Models for Stream Networks. Joint Statistical Meetings, Seattle, WA, August 6-10, 2006 {Link}. Earlier versions of this presentation were given at the North American Benthological Society, Anchorage, Alaska, June 4-9, 2006 {Link} and Spring Meeting, Colorado/Wyoming Chapter of the American Statistical Association, Boulder, CO, April 21, 2006 {Link}
♦ Opsomer, J.D, F.J. Breidt, G. Moisen and G. Kauermann. Model-Assisted Estimation of Forest Resources with Generalized Additive Models. The JASA Applications and Case Studies Invited Session with prepared discussions. Joint Statistical Meetings, Seattle, WA, August 6-10, 2006 {Link}
♦ Hoeting, J.A., R.A. Davis, A.A. Merton and S.E. Thompson. Model Selection and Estimation for Geostatistical Models. (Invited) Joint Statistical Meetings, Seattle, WA, August 6-10, 2006
♦ Higgs, M.D., J.A. Hoeting, and B. Bledsoe. Bayesian Modeling for Ordinal Substrate Size Using EPA Stream Data: a Spatial Model for Ordered Categorical Data. Joint Statistical Meetings, Seattle, WA, August 6-10, 2006 {Link}
♦ Park, M.S. and M. Fuentes. A New Class of Asymmetric Spatio-temporal Covariance Models. Joint Statistical Meetings, Seattle, WA, August 6-10, 2006 (Winner of the student paper competition sponsored by the Section on Statistics in the Environment of the American Statistical Association.) {Link}
♦ Irvine, K.M., A.I. Gitelman, and S.E. Thompson. Strength of Spatial Correlation and Spatial Designs: Effects on Covariance Estimation. Joint Statistical Meetings, Seattle, WA, August 6-10, 2006 (2nd place honorable mention in the student paper competition sponsored by the Section on Statistics in the Environment of the American Statistical Association.) {Link}
♦ Jennifer Hoeting, a STARMAP Principal Investigator, and Geof Givens presented a short course entitled Statistical Computing: Techniques for Integration and Optimization two different places:
● Alaska Chapter of the American Statistical Association (With R applications, two days), Juneau, AK, July, 2006, {Link} and
● Joint Statistical Meetings (one day), Seattle, WA, August 6-10, 2006 {Link}
♦ Don Stevens and Tony Olsen presented the short course Spatial Sampling at the Joint Statistical Meetings, Seattle, WA, August, 6-10, 2006 {Link}
♦ Stevens, Jr. D.L. Spatial Properties of Design-based Versus Model-based Approaches to Environmental Sampling. ACCURACY 2006: The 7th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, July 5-7, 2006, Lisbon, Portugal
♦ Davis, R.A., T.C.M. Lee, and G.A. Rodriguez-Yam. Structural Break Detection for a Class of Nonlinear Time Series Models. IMS Western Regional Meeting, Flagstaff, Arizona, June 27-30, 2006 {Link}
♦ Davis, R.A., T.C.M. Lee, and G.A. Rodriguez-Yam. Structural Break Detection in Time Series. BIRS Workshop Statistics at the Frontiers of Science, Banff International Research Station, Banff, Canada, June 24-29, 2006 {Link}
♦ Stevens, D.L., Jr., D.P. Larsen, and A.R. Olsen. Using a Master Sample to Coordinate Monitoring of Multiple Species (Invited). The International Environmetrics Society, June 18-22, 2006, Kalmar, Sweden
♦ Hoeting, J.A. presented two talks, Introduction to Bayesian Data Analysis Methods, and An Introduction to WinBUGS, to the PRIMES Workshop on Bayesian Methods in Wildlife Population Monitoring, Colorado State University, Fort Collins, CO, June 14-16, 2006
♦ Davis, R.A. Extremes of Space-Time Processes with Heavy Tails. Extremes in Action; Symposium for Georg Lindgren, Lund, Sweden, June 8-9, 2006 {Link}
♦ Theobald, D.M. and J.B. Norman*. The FLoWS GIS Tools. Workshop on Modeling Salmon Habitat, hosted by the Alaska Department of Fish & Game and The Nature Conservancy, Anchorage, Alaska, May 17-19, 2006
♦ Theobald, D.M., J.B. Norman and E.E. Peterson. Functional Linkage of Water Basins and Streams: FLoWS v1 ArcGIS Tools. Workshop on Modeling Salmon Habitat, hosted by the Alaska Department of Fish & Game and The Nature Conservancy, Anchorage, Alaska, May 17-19, 2006 {Link}
♦ Peterson E.E., D.M. Theobald, N.S. Urquhart, J.M. Ver Hoef, and A.A. Merton. Regional GIS-based Geostatistical Models for Stream Networks. Workshop on Modeling Salmon Habitat, hosted by the Alaska Department of Fish & Game and The Nature Conservancy, Anchorage, Alaska, May 17-19, 2006 {Link}
♦ Davis, R.A., T.C.M. Lee, and G.A. Rodriguez-Yam. Structural Break Detection in Time Series. Seminar, Department of Statistics, Columbia University, New York May 1, 2006 {Link}
♦ Stevens, D.L., Jr. Importance of Scale, Sampling Design, and Statistics in Effectiveness Monitoring. Workshop on Effectiveness Monitoring, sponsored by the Oregon Watershed Enhancement Board, Corvallis, OR, April 17 - 18, 2006.
♦ Breidt, F.J., S.M. Ogle, and K.H. Paustian. Uncertainty Analysis for a US Inventory of Soil Organic Carbon Stock Changes. Workshop on Uncertainty in Ecological Analysis, Mathematical Biosciences Institute, The Ohio State University, Columbus, OH, April 3, 2006 {Link}
♦ Hoeting, J.A. Modeling in the Presence of Uncertainty: Is There Another Way to Do It? Invited discussant for papers by A. Gelfand and J. Breidt. Workshop on Uncertainty in Ecological Analysis, The Ohio State University, Columbus, OH, April 2006 {Link}
♦ Breidt, F.J., H.-C. Huang, N.-J. Hsu, and D.M. Theobald. Spatial Lasso with Application to GIS Model Selection. Invited - ENAR Spring Meeting, Tampa, FL, March 28, 2006 {Link}
♦ Stevens, D.L., Jr. Probabilistic Sampling: Can Lessons from Coastal River Systems Be Applied to a Mainstem Species? Workshop in on Monitoring White Sturgeon in the Columbia Basin sponsored by the Columbia Basin Fish and Wildlife Authority, Spokane, WA, March 14-15, 2006
♦ Peterson E.E., D.M. Theobald, N.S. Urquhart, J.M. Ver Hoef, and A.A. Merton. Predicting Water Quality Impaired Stream Segments Using Landscape-scale Data and a Regional Geostatistical Model. Centre for Riverine Landscapes Seminar Series, Griffith University, Brisbane, Australia. March 4, 2006 {Link} Abbreviated version presented at North American Benthological Society, Anchorage, Alaska, June 4-9, 2006
♦ Davis, R.A., T.C.M. Lee, and G.A. Rodriguez-Yam. Structural Break Detection in Time Series. Seminar, Department of Statistics, University of California, Davis, April 27, 2006 {Link}
♦ Urquhart, N.S. Designing Surveys over Time (Panel Surveys): Variance, Power and Related Topics. National Park Service, Inventory and Monitoring Program, San Diego, February 10, 2006 {Link}
♦ Park, M.S. and M. Fuentes. Symmetry and Separability in Spatial-Temporal Processes. Seminar, Department of Statistics, Colorado State University, February 1, 2006 {Link}
♦ Breidt, F.J., R.A. Davis, N.-J. Hsu, and M. Rosenblatt. Laplace Likelihood and LAD Estimation for Non-invertible MA(1). Waseda Workshop on Time Series Analysis and Its Related Topics, Waseda University, Tokyo, Japan, January 23-25, 2006 {Link}
♦ Ranalli, M.G. Low-rank Smoothing Splines on Domains with Unusual Shapes: Nonparametric Approximations for Estuaries and Nets of Rivers. Seminar, Department of Economics, Finance and Statistics, University of Perugia, Italy, January 13, 2006 {Link}
♦ Araas, J.F. EMAP West Training Presentations. Masters Seminar (Teleconference), Department of Statistics, Colorado State University, December 15, 2005 {Link}
♦ Smith, J.J. Predicting Median Substrate Size in Oregon and Washington EMAP Sites Utilizing GIS Data. Masters Seminar, Department of Statistics, Colorado State University, December 6, 2005 {Link}
♦ Davis, R.A., T.C.M. Lee, and G.A. Rodriguez-Yam. Structural Break Detection in Time Series. Statistics and Probability Conference in Memory of Ching-Zong Wei, Academia Sinica, Taipei, December 12-14, 2005 {Link}
♦ Davis, R.A., T.C.M. Lee, and G.A. Rodriguez-Yam. Structural Break Detection in Time Series. International Conference on Statistics, Combinatorics, Mathematics, and Applications, Auburn University, Auburn, Alabama, December 2-4, 2005 {Link}
♦ Davis, R.A., T.C.M. Lee, and G.A. Rodriguez-Yam. Structural Break Detection in Time Series. Charles University, Prague, Czech Republic, November 9, 2005 {Link}
♦ Peterson, E.E., D.M. Theobald, N.S. Urquhart, J.M. Ver Hoef, and A.A. Merton. Predicting Water Quality Impaired Stream Segments Using Landscape-scale Data and a Regional Geostatistical Model. Statistical Society of Australia, St. Lucia, Queensland, Australia. October 18, 2005 {Link}
♦ Breidt, F.J., R.A. Davis, N.-J. Hsu, and M. Rosenblatt. Laplace Likelihood and LAD Estimation for Non-invertible MA(1). NSF/NBER Workshop in Time Series, Heidelberg, Germany, September 22-24, 2005 {Link}
♦ Montanari, G.E. and M.G. Ranalli. Nonparametric Methods for Sample Surveys of Environmental Populations. Invited talk, Annual Meeting of the Italian Statistical Society on Statistics and the Environment, September 21-23, 2005, Messina, Italy {Link}
♦ Davis, R.A., T.C.M. Lee, and G.A. Rodriguez-Yam. Structural Break Detection in Time Series. Nonlinear and Nonstationary Time Series Workshop, Kaiserslautern, Germany. September 20-21, 2005 {Link}
♦ Larsen, D.P. and N.S. Urquhart. Designs for Estimating Variability Structure and Implications for Detecting Watershed Restoration Effectiveness. American Fisheries Society, Anchorage, AK, September 11-15, 2005 {Link}
♦ Urquhart, N.S. Overview of STARMAP. Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7 - 9, 2005 {Link}
♦ Delorey, M.J., F.J. Breidt, and J.D. Opsomer. Nonparametric, Model-Assisted Estimation for a Two-Stage Sampling Design. Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7-9, 2005 {Link}
♦ Ranalli, M.G. Acid Neutralizing Capacity CDF Estimation in the Northeastern Lakes Survey: A Nonparametric Model Calibrated Pseudo Empirical Maximum Likelihood Approach. Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7 - 9, 2005 {Link}
♦ Wang, H. and M.G. Ranalli. Low-rank Smoothing Splines on Complex Domains: Smoothing Estuaries. Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7 - 9, 2005 {Link}
♦ Opsomer, J.D., G. Claeskens, M.G. Ranalli, G. Kauermann, and F.J. Breidt. Small Area Estimation Using Penalized Spline Regression. Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7 - 9, 2005 {Link}
♦ Theobald, D.M., J.B. Norman, E.E. Peterson and S.B. Ferraz. Functional Linkage of Watersheds and Streams Using Landscape Networks of Reach Contributing Areas. Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7 - 9, 2005 {Link}
♦ Merton, A.A. and E.E. Peterson. Using the Maryland Biological Stream Survey Data to Test Spatial Statistical Models: A Collaborative Approach to Analyzing Stream Network Data. Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7 - 9, 2005 {Link}
♦ Coar, W.J. and F.J. Breidt. State-Space Models for Within-Stream Network Dependence. Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7 - 9, 2005 {Link}
♦ Theobald, D.M., J.B. Norman, and D.M. Merritt. Quantifying Fragmentation of Freshwater Systems Using a Measure of Discharge Modification (and Other Applications). Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7 - 9, 2005 {Link}
♦ Breidt, F.J., H.-C. Huang, N.-J. Hsu, and D.M. Theobald. Spatial Lasso with Application to GIS Model Selection. Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7-9, 2005 {Link}
♦ Hoeting, J.A. Geostatistical Modeling: Model Selection and Parameter Estimation. Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7 - 9, 2005 {Link}
♦ Gitelman, A.I. and K.M. Georgitis. Connecting Correlated Predictors Using Graphical Models. Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7 - 9, 2005 {Link}
♦ Davis, R.A., T.C.M. Lee, and G.A. Rodriguez-Yam. Structural Break Detection in Time Series Models. Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7 - 9, 2005 {Link}
♦ Urquhart, N.S. Developments in Trend Detection in Aquatic Surveys. Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7 - 9, 2005 {Link}
♦ Hancock, S.A. Developing Learning Materials for Surface Water Monitoring. Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7 - 9, 2005 {Link}
♦ Norman, J.B., D.M. Theobald, E.E. Peterson and S.B. Ferraz. Functional Linkage of Watersheds and Streams: ArcGIS FLoWS Tools. Fourth Annual Conference on Statistical Survey Design and Analysis for Aquatic Resources, Corvallis, OR, September 7 - 9, 2005 {Link}
♦ Peterson, E.E. Predicting Water Quality Impaired Stream Segments Using Landscape-scale Data and a Regional Geostatistical Model. Doctoral Defense Seminar in Earth Resources, Department of Geosciences, Colorado State University, August 23, 2005 {Link}
♦ Peterson, E.E., A.A. Merton, N.S. Urquhart*, D.M. Theobald, and J.A. Hoeting. Using the Maryland Biological Stream Survey Data to Test Spatial Statistical Models. Second Maryland Stream Conference, Carroll College, Westminster, MD, August 10 - 13, 2005 {Link}
♦ Gitelman, A.I. and K.M. Georgitis. Bayesian Network Models to Account for Correlation Across Scales. ESA/INTECOL, Montreal, Canada, August 8, 2005 {Link}
♦ Hoeting, J.A. and D.S. Johnson. Bayesian Models for a Multivariate Discrete Response. Joint Statistical Meetings, Minneapolis, MN, August 7 - 11, 2005
♦ Hoeting, J.A. and G.H. Givens. Computational Statistics: Methods for Optimization and Monte Carlo Integration. Continuing Education Course. Joint Statistical Meetings, Minneapolis, MN, August 7 - 11, 2005 {Link}
♦ Johnson, D.S. Bayesian Model Selection for Geostatistical Regression Data. Joint Statistical Meetings, Minneapolis, MN, August 7 - 11, 2005 {Link}
♦ Opsomer, J.D., G.M. Ranalli, G. Claeskens, G. Kauermann, and F.J. Breidt. Small-area Estimation Using Penalized Spline Regression. Joint Statistical Meetings, Minneapolis, MN, August 7 - 11, 2005 {Link}
♦ Breidt, F.J. Extensions of Penalized Spline Regression for Natural Resource Monitoring Applications. Joint Statistical Meetings, Minneapolis, MN, August 7 - 11, 2005{Link}
♦ Theobald, D.M., J.B. Norman, and D.M. Merritt. Quantifying Fragmentation of Freshwater Systems Using a Measure of Discharge Modification (And Other Applications). ESRI User Conference 2005, San Diego, CA, July 26, 2005 {Link}
♦ Norman, J.B., D.M. Theobald, E.E. Poston, S.B. Ferraz. Functional Linkage of Watersheds and Streams: FLoWS v1 ArcGIS tools. ESRI User Conference 2005. San Diego, CA, July 26, 2005 {Link}
♦ Theobald, D.M., J.B. Norman, E.E. Poston, S.B. Ferraz. Functional Linkage of Watersheds and Streams: ArcGIS FLoWS Tools. ESRI User Conference 2005. San Diego, CA, July 26, 2005 {Link}
♦ Davis, R.A., G.A. Rodriguez-Yam and T.C.M. Lee. Structural Break Detection in Time Series Models. 13th INFORMS Applied Probability Conference, Ottawa, Canada, July 6 - 8, 2005 {Link}
♦ Gitelman, A.I. and K.M. Georgitis. Connecting Correlated GIS Predictors in a Bayes Network Model. WNAR/IMS Meeting, Fairbanks, AK, June 21 - 24, 2005 {Link}
♦ Georgitis, K.M., A.I. Gitelman, and J.A. Hoeting. Estimation and Model Selection for Geostatistical Models. WNAR/IMS Meeting, Fairbanks, AK, June 21 - 24, 2005 {Link}
♦ Johnson, D.S. Bayesian Model Determination for Spatial Regression Data. WNAR/IMS Meeting, Fairbanks, AK, June 21 - 24, 2005 {Link}
♦ Ranalli, M.G., F.J. Breidt, and H. Wang. Low-rank Thin Plate Splines for Unusual Spatial Structures: Smoothing Estuaries and Stream Networks. WNAR/IMS Meeting, Fairbanks, AK, June 21 - 24, 2005 {Link}
♦ Dailey, M.C., A.I. Gitelman, F.L. Ramsey, and S. Starcevich. Habitat Selection Models to Account for Seasonal Persistence in Radio Telemetry Data. 2005 WNAR/IMS Meeting, Fairbanks, AK, June 21 - 24, 2005 {Link}
♦ Breidt, F.J., H.-C. Huang, N.-J. Hsu, and D.M. Theobald. Spatial Lasso with Application to GIS Model Selection. 2005 WNAR/IMS Meeting, Fairbanks, AK, June 21 - 24, 2005 {Link}
♦ Theobald, D.M., B.R. Noon, and A.R. Olsen. Vital Signs Monitoring Sample Design Workshop – Inventory and Monitoring Program, Intermountain Region. Short Course, National Park Service, Lakewood, CO, May 25 - 26, 2005
♦ Davis, R.A., T.C.M. Lee, and G.A. Rodriguez-Yam. Structural Break Detection in Time Series. CIRANO-CIREQ Financial Econometrics Conference, University of Montreal, Montreal, Canada. May 21-22, 2005 {Link}
♦ Theobald, D.M. Developing Practical and Efficient Sample Designs for Inventory and Monitoring of Natural Resources Using Spatially-balanced Sampling. University of Redlands and Environmental Systems Research Institute (makers of ArcGIS), Redlands, CA, May 12, 2005
♦ Davis, R.A., T. Mikosch, and B. Basrak. Heavy Tails and Financial Time Series Models. Workshop on Heavy Tails and Long Range Dependence, Cornell University, April 22-24, 2005 {Link}
♦ French, J. Exploring Spatial Correlation in Rivers. Spring Meeting, Colorado/Wyoming Chapter of the American Statistical Association, Boulder, CO, April 22, 2005;{Link}; Masters Seminar, Department of Statistics, Colorado State University, April 4, 2005 {Link}
♦ Urquhart, N.S. Statistics and the Clean Water Act. Spring Meeting, Colorado/Wyoming Chapter of the American Statistical Association, Boulder, CO, April 22, 2005 {Link}
♦ Stevens, D.L., Jr. Statistical Design and Analysis for Environmental Monitoring or Generally Random Thoughts on Statistics. Presentation at a workshop on probabilistic sampling at the State of the Salmon Conference, Anchorage, Alaska, April 17-20, 2005
♦ Stevens, D.L., Jr. The Generalized Random Tessellation Stratified Sampling Design for Selecting Spatially-Balanced Samples. Seminar at the CSIRO Marine Research Laboratory, Cleveland, Australia, April 14, 2005
♦ Hoeting, J.A. Model Selection for Geostatistical Models. Seminar, Department of Statistics, Oregon State University, April, 2005
♦ Hoeting, J.A. A Statistical Model for a Multivariate Compositional Response. Seminar, Department of Mathematics, Colorado State University, March 29, 2005
♦ Davis, R.A., G.A. Rodriguez-Yam and T.C.M. Lee. Thoughts on Model Selection. Inaugural Alaska Consortium for Environmental Statistics (ACES), University of Alaska, Fairbanks, Alaska, March 25, 2005 {Link}
♦ Opsomer, J.D., G. Claeskens, M.G. Ranalli, and F.J. Breidt. Small Area Estimation Using Penalized Spline Regression. Invited talk, International Biometric Society, Eastern North American Region meeting, Austin, TX, March 21, 2005.{Link}
♦ Urquhart, N.S. Statistics as a Profession. Presentations to high school advanced placement classes at Rocky Mountain High School, Fort Collins, CO, March 11, 2005. (two classes),{Link}
♦ Urquhart, N.S. an Academician’s View of EPA’s Ecology Program, Especially its Environmental Monitoring and Assessment Program (EMAP). Invited presentation to the Ecological Research Subcommittee of U.S. EPA Board of Scientific Counselors, Research Triangle Park, NC, March 7, 2005 {Link}
♦ Ranalli, M.G. and H. Wang. Low-rank Smoothing Splines for Complex Domains and Manifold Recovery. Seminar, University of Virginia, Charlottesville, VA, March 4, 2005 {Link}
♦ Stevens, Jr., D.L. Experimental and Survey Design in Fisheries: A Statistics Workshop. Annual Meeting, Oregon Chapter of the American Fisheries Society, February 16, 2005
♦ Ranalli, M.G., F.J. Breidt, and H. Wang. Low-rank Smoothing Splines on Complex Domains. Seminar, AED/NHEERL/EPA, Narragansett, RI, March 1, 2005 {Link}
♦ Johnson, D.S. Bayesian Model Selection for Geostatistical Regression Data. Seminars, School of Statistics, University of Minnesota, Minneapolis, MN, January 31, 2005 {Link}; Department of Statistics, University of Connecticut, Storrs, CT, February 16, 2005 {Link}; and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, February 23, 2005 {Link}
♦ Theobald, D.M., J.B. Norman, E.E. Poston, and S.B. Ferraz. A Framework to Develop Useful Landscape Indicators for Measuring Aquatic Responses. Seminar. WED/NHEERL/EPA, Corvallis, OR, February 2, 2005 {Link}
♦ Hoeting, J.A. and D.S. Johnson. Biological Monitoring: Bayesian Models for a Multivariate Response. International Workshop/Conference on Bayesian Statistics and its Applications, Banaras Hindu University, Varanasi, India, January 5 - 8, 2005 {Link}
♦ Stevens, D.L., Jr. and A.R. Olsen. Local Neighborhood Variance Estimator for GRTS Survey Designs. USEPA WED, Corvallis, OR, November 16, 2004
♦ Stevens, D.L., Jr. Environmental Monitoring, Statistics, and the Art of Non-Representation: The Need and Evidence for a Paradigm Shift. Seminar, Department of Mathematical Science, Eastern Oregon State University, La Grande, Oregon, November 4, 2004
♦ Stevens, D.L., Jr. The Generalized Random Tessellation Stratified Sampling Design for Selecting Spatially-Balanced Samples. USEPA WED, Corvallis, OR, November 2, 2004
♦ Jen