- Hooten, M.B. and T.J. Hefley. (2019).
Bringing Bayesian Models to Life.
Chapman and Hall/CRC. (code, errata)
- Hooten, M.B., D.S. Johnson, B.T. McClintock, and J.M. Morales. (2017).
Animal Movement: Statistical Models for Telemetry Data.
Chapman and Hall/CRC. (errata)
- Hobbs, N.T. and M.B. Hooten. (2015).
Bayesian Models: A Statistical Primer for Ecologists.
Princeton University Press. (errata)
Journal Articles and Book Chapters
2020
- Williamson, M.A., B.G. Dickson, M.B. Hooten, R.A. Graves, M.N. Lubell, and M.W. Schwartz. (In Press).
Accounting for incomplete reporting improves inference about private land conservation.
Conservation Biology.
- Lasky, J.R., M.B. Hooten, and P.B. Adler. (2020).
What processes must we understand to forecast regional scale population dynamics?
Proceedings of the Royal Society B, 287: 20202219. (pdf)
- Leach, C., J.A. Hoeting, K. Pepin, A. Eiras, M.B. Hooten, and C. Webb. (2020).
Linking mosquito surveillance to dengue fever through Bayesian mechanistic modeling.
PLoS Neglected Tropical Diseases, 14: e0008868. (pdf)
- McCaslin, H.M., A.B. Feuka, and M.B. Hooten. (In Press).
Hierarchical computing for hierarchical models in ecology.
Methods in Ecology and Evolution. (pdf) (video)
- Hooten, M.B., C.K. Wikle, and M.R. Schwob. (2020).
Statistical implementations of agent-based demographic models.
International Statistical Review, 88: 441-461. (pdf)
- Hooten, M.B., D.S. Johnson, and B.M. Brost. (2020).
Making recursive Bayesian inference accessible.
The American Statistician. (pdf) (video)
- Brost, B.M., M.B. Hooten, R.J. Small. (2020).
Model-based clustering reveals patterns in central place use of a marine top predator.
Ecosphere, 11: e03123. (pdf)
- Hooten, M.B., X. Lu, M.J. Garlick, and J.A. Powell. (2020).
Animal movement models with mechanistic selection functions.
Spatial Statistics, 37: 100406. (pdf)
- Lu, X., P.J. Williams, M.B. Hooten, J.A. Powell, J.N. Womble, and M.R. Bower. (2020).
Nonlinear reaction-diffusion process models improve inference for population dynamics.
Environmetrics, 31: e2604. (pdf)
- Hooten, M.B., S. Pugh, and C.A. Roland. (2020).
Geary's contiguity ratio (Geary's c).
Wiley StatsRef: Statistics Reference Online.
- Christianson, K.R., B.M. Johnson, and M.B. Hooten. (2020).
Compound effects of water clarity, inflow, wind, and climate warming on mountain lake thermal regimes.
Aquatic Sciences, 82: 6. (pdf)
2019
- Tipton, J.R., M.B. Hooten, C. Nolan, R.K. Booth, and J. McLachlan. (2019).
Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction.
Annals of Applied Statistics, 13: 2363-2388. (pdf)
- Gerber, B.D., M.B. Hooten, C.P. Peck, M.B. Rice, J.H. Gammonley, A.D. Apa, and A.J. Davis. (2019).
Extreme site fidelity as an optimal strategy in an unpredictable and homogeneous environment.
Functional Ecology, 33: 1695-1707. (pdf)
- Williams, P.J., W.L. Kendall, and M.B. Hooten. (2019).
Selecting ecological models using multi-objective optimization.
Ecological Modelling, 404: 21-26. (pdf)
- Hooten, M.B., E.M. Hanks, and J.M. Ver Hoef. (2019).
Simultaneous autoregressive (SAR) model.
Wiley StatsRef: Statistics Reference Online. (pdf)
- Hooten, M.B. and E.C. Cooch. (2019).
Comparing Ecological Models.
In: Quantitative Analyses in Wildlife Science, eds. Brennan, L.A., A.N. Tri, and B.G. Marcot (pgs. 63-76). Johns Hopkins University Press. (pdf)
- Scharf, H.R., M.B. Hooten, R.R. Wilson, G.M. Durner, and T.C. Atwood. (2019).
Accounting for phenology in the analysis of animal movement.
Biometrics, 75: 810-820. (pdf)
- Christianson, K.R., B.M. Johnson, M.B. Hooten, and J.J. Roberts. (2019).
Estimating lake-climate responses from sparse data: An application to high elevation lakes.
Limnology and Oceanography, 64: 1371-1385. (pdf)
- Williams, P.J., M.B. Hooten, G.G. Esslinger, J.N. Womble, J. Bodkin, and M.R. Bower. (2019).
The rise of an apex predator following deglaciation.
Diversity and Distributions, 25: 895-908. (pdf)
- Nolan, C., J. Tipton, R.K. Booth, M.B. Hooten, and S.T. Jackson. (2019).
Comparing and improving methods for reconstructing peatland water table depth from testate amoebae.
The Holocene, 29: 1350-1361. (pdf)
- Peterson, E.E., E.M. Hanks, M.B. Hooten, J.M. Ver Hoef, and M.-J. Fortin. (2019).
Spatially structured statistical network models for landscape genetics.
Ecological Monographs, 89: e01355. (pdf)
- Ketz, A.C., T.L. Johnson, M.B. Hooten, and N.T. Hobbs. (2019).
A hierarchical Bayesian approach for handling missing classification data.
Ecology and Evolution, 9: 3130-3140. (pdf)
- Hooten, M.B. and D.S. Johnson. (2019).
Modeling Animal Movement. Gelfand, A.E., M. Fuentes, and J.A. Hoeting (eds).
In Handbook of Environmental and Ecological Statistics. Chapman & Hall/CRC.
- Hooten, M.B., H.R. Scharf, and J.M. Morales. (2019).
Running on empty: Recharge dynamics from animal movement data.
Ecology Letters, 22: 377-389. (pdf)
2018
- Dietze, M., A. Fox, L. Beck-Johnson, J.L. Betancourt, M.B. Hooten, C. Jarnevitch, T. Kiett, M. Kenney, C. Laney, L. Larsen, H. Loescher, C. Lunch, B. Pijanowski, J. Randerson, E. Reid, A. Tredennick, R. Vargas, K. Weathers, and E. White. (2018).
Iterative near-term ecological forecasting: Needs, opportunities, and challenges.
Proceedings of the National Academy of Sciences, 115: 1424-1432. (pdf)
- Scharf, H.R., M.B. Hooten, D.S. Johnson, and J. Durban. (2018).
Process convolution approaches for modeling interacting trajectories.
Environmetrics, 29: e2487. (pdf)
- Buderman, F.E., M.B. Hooten, M.W. Alldredge, E.M. Hanks, and J.S. Ivan. (2018).
Time-varying predatory behavior is primary predictor of fine-scale movement of wildland-urban cougars.
Movement Ecology, 6: 22. (pdf)
- Conn, P.B., D.S. Johnson, P.J. Williams, S. Melin, and M.B. Hooten. (2018).
A guide to Bayesian model checking for ecologists.
Ecological Monographs, 88: 526-542. (pdf)
- Gerber, B.D., M.B. Hooten, C.P. Peck, M.B. Rice, J.H. Gammonley, A.D. Apa, and A.J. Davis. (2018).
Accounting for location uncertainty in azimuthal telemetry data improves ecological inference.
Movement Ecology, 6: 14. (pdf)
- Hooten, M.B., H.R. Scharf, T.J. Hefley, A. Pearse, and M. Weegman. (2018).
Animal movement models for migratory individuals and groups.
Methods in Ecology and Evolution, 9: 1692-1705. (pdf)
- Pejchar, L., T. Gallo, M.B. Hooten, and G. Daily. (2018).
Predicting effects of large-scale reforestation on native and exotic birds.
Diversity and Distributions, 24: 811-819. (pdf)
- Ver Hoef, J.M., E.M. Hanks, and M.B. Hooten. (2018).
On the relationship between conditional (CAR) and simultaneous (SAR) autoregressive models.
Spatial Statistics, 25: 68-85. (pdf)
- Ketz, A.C., T.L. Johnson, R.J. Monello, J. Mack, J.L. George, B.R. Kraft, M.A. Wild, M.B. Hooten, and N.T. Hobbs. (2018).
Estimating abundance of an open population with an N-mixture model using auxiliary data on animal movements.
Ecological Applications, 28: 816-825. (pdf)
- Williams, P.J., M.B. Hooten, J.N. Womble, G.G. Esslinger, and M.R. Bower. (2018).
Monitoring dynamic spatio-temporal ecological processes optimally.
Ecology, 99: 524-535. (pdf)
- Ver Hoef, J.M., E.E. Peterson, M.B. Hooten, E.M. Hanks, and M-J. Fortin. (2018).
Spatial autoregressive models for statistical inference from ecological data.
Ecological Monographs, 88: 36-59. (pdf)
- Itter, M.S., A.O. Finley, M.B. Hooten, P.E. Higuera, J.R. Marlon, R. Kelly, and J.S. McLachlan. (2018).
A model-based approach to wildland fire reconstruction using sediment charcoal records.
Environmetrics, 22: e2450. (pdf)
- Buderman, F.E., M.B. Hooten, J. Ivan, and T. Shenk. (2018).
Large-scale movement behavior in a reintroduced predator population.
Ecography, 41: 126-139. (pdf)
2017
- Williams, P.J., M.B. Hooten, J.N. Womble, G.G. Esslinger, M.R. Bower, and T.J. Hefley. (2017).
Estimating occupancy and abundance using aerial images with imperfect detection.
Methods in Ecology and Evolution, 8: 1679-1689. (pdf)
- Hefley, T.J., B.M. Brost, and M.B. Hooten. (2017).
Bias correction of bounded location errors in presence-only data.
Methods in Ecology and Evolution, 8: 1566-1573. (pdf)
- Steger, C., B. Butt, and M.B. Hooten. (2017).
Safari Science: Assessing the reliability of citizen science data for wildlife surveys.
Journal of Applied Ecology, 54: 2053-2062. (pdf)
- Hooten, M.B., R. King, and R. Langrock. (2017).
Guest editor's introduction to the special issue on "Animal Movement Modeling."
Journal of Agricultural, Biological, and Environmental Statistics, 22: 224-231. (pdf)
- Scharf, H.R., M.B. Hooten, and D.S. Johnson. (2017).
Imputation approaches for animal movement modeling.
Journal of Agricultural, Biological, and Environmental Statistics, 22: 335-352. (pdf)
- Hanks, E.M., D.S. Johnson, and M.B. Hooten. (2017).
Reflected stochastic differential equation models for constrained animal movement.
Journal of Agricultural, Biological, and Environmental Statistics, 22: 353-372. (pdf)
- Hooten, M.B. and D.S. Johnson. (2017).
Basis function models for animal movement.
Journal of the American Statistical Association, 112: 578-589. (pdf)
- Hefley, T.J., M.B. Hooten, R.E. Russell, D.P. Walsh, and J. Powell. (2017).
When mechanism matters: Forecasting the spread of disease using ecological diffusion.
Ecology Letters, 20: 640-650. (pdf)
- Pepin, K.M., S.L. Kay, B. Golas, S.S. Shriner, A.T. Gilbert, R.S. Miller, A.L. Graham, S. Riley, P.C. Cross, M.D. Samuel, M.B. Hooten, J.A. Hoeting, J.O. Lloyd-Smith, C.T. Webb, and M.B. Buhnerkempe. (2017).
Inferring infection hazard in wildlife populations by linking data across individual and population scales.
Ecology Letters, 20: 275-292. (pdf)
- Meredith, C.S., P. Budy, M.B. Hooten, and M.O. Prates. (2017).
Assessing abiotic conditions influencing the longitudinal distribution of exotic brown trout (Salmo trutta) in a mountain stream: a spatially-explicit modeling approach.
Biological Invasions, 19: 503-519. (pdf)
- Tredennick, A.T., M.B. Hooten, and P.B. Adler. (2017).
Do we need demographic data to forecast the state of plant populations?
Methods in Ecology and Evolution, 8: 541-551. (pdf)
- Hefley, T.J., M.B. Hooten, E.M. Hanks, R.E. Russell, and D.P. Walsh. (2017).
Dynamic spatio-temporal models for spatial data.
Spatial Statistics, 20: 206-220. (pdf)
- Hefley, T.J., K.M. Broms, B.M. Brost, F.E. Buderman, S.L. Kay, H.R. Scharf, J.R. Tipton, P.J. Williams, and M.B. Hooten. (2017).
The basis function approach to modeling autocorrelation in ecological data.
Ecology, 98: 632-646. (pdf)
- Roberts, J.J., K.D. Fausch, M.B. Hooten, and D.P. Peterson. (2017).
Nonnative trout invasions combined with climate change threaten persistence of isolated cutthroat trout populations in the southern Rocky Mountains.
North American Journal of Fisheries Management, 37: 314-325. (pdf)
- Williams, P.J., M.B. Hooten, J.N. Womble, G.G. Esslinger, M.R. Bower, and T.J. Hefley. (2017).
An integrated data model to estimate spatio-temporal occupancy, abundance, and colonization dynamics.
Ecology, 98: 328-336. (pdf)
- Small, R.J., B.M. Brost, M.B. Hooten, M. Castellote, and J. Mondragon. (2017).
Potential for spatial displacement of Cook Inlet beluga whales by anthropogenic noise in critical habitat.
Endangered Species Research, 32: 43-57. (pdf)
- Hefley, T.J., M.B. Hooten, E.M. Hanks, R.E. Russell, and D.P. Walsh. (2017).
The Bayesian group lasso for confounded spatial data.
Journal of Agricultural, Biological, and Environmental Statistics, 22: 42-59. (pdf)
- Tipton, J., M.B. Hooten, and S. Goring. (2017).
Reconstruction of spatio-temporal temperature from sparse historical records using robust probabilistic principal component regression.
Advances in Statistical Climatology, Meteorology and Oceanography, 3: 1-16. (pdf)
- Brost, B.M., M.B. Hooten, and R.J. Small. (2017).
Leveraging constraints and biotelemetry data to pinpoint repetitively used spatial features.
Ecology, 98: 12-20. (pdf)
- Arab, A., M.B. Hooten, and C.K. Wikle. (2017).
Hierarchical Spatial Models.
In: Encyclopedia of Geographical Information Science, Second Edition. Springer. (pdf)
2016
- Davis, A.J., M.B. Hooten, R.S. Miller, M. Farnsworth, J. Lewis, M. Moxcey, and K.M. Pepin. (2016)
Inferring invasive species abundance using removal data from management actions.
Ecological Applications, 26: 2339-2346. (pdf)
- Northrup, J.M., C.R. Anderson, M.B. Hooten, and G. Wittemyer. (2016).
Movement reveals scale-dependence in habitat selection of a large ungulate.
Ecological Applications, 26: 2746-2757. (pdf)
- Lepak, J.M., M.B. Hooten, C.A. Eagles-Smith, M.A. Lutz, M.T. Tate, J.T. Ackerman, J.J. Willacker Jr., D.C. Evers, J. Davis, C.F. Pritz, J.G. Wiener. (2016).
Assessing mercury concentrations in fish across western Canada and the United States: potential health risks to fish and humans.
Science of the Total Environment, 571: 342-354. (pdf)
- Scharf, H.R., M.B. Hooten, B.K. Fosdick, D.S. Johnson, J.M. London, and J.W. Durban. (2016).
Dynamic social networks based on movement.
Annals of Applied Statistics, 10: 2182-2202. (pdf)
- Hefley, T.J., M.B. Hooten, J.M. Drake, R.E. Russell, and D.P. Walsh. (2016).
When can the cause of a population decline be determined?
Ecology Letters, 19: 1353-1362. (pdf)
- Tredennick, A.T., M.B. Hooten, C.L. Aldridge, C.G. Homer, A. Kleinhesselink, and P.B. Adler. (2016).
Forecasting climate change impacts on plant populations over large spatial extents.
Ecosphere, 7: e01525. (pdf)
- Williams, P.J. and M.B. Hooten. (2016).
Combining statistical inference and decisions in ecology.
Ecological Applications, 26: 1930-1942. (pdf)
- Ruiz-Gutierrez, V., M.B. Hooten, and E.H. Campbell Grant. (2016).
Uncertainty in biological monitoring: a framework for data collection and analysis to account for multiple sources of sampling bias.
Methods in Ecology and Evolution, 7: 900-909. (pdf)
- Broms, K.M., M.B. Hooten, and R.M. Fitzpatrick. (2016).
Model selection and assessment for multi-species occupancy models.
Ecology, 97: 1759-1770. (pdf)
- Hooten, M.B., F.E. Buderman, B.M. Brost, E.M. Hanks, and J.S. Ivan. (2016).
Hierarchical animal movement models for population-level inference.
Environmetrics, 27: 322-333. (pdf) (video)
- Hanks, E.M., M.B. Hooten, S.A. Knick, S.J. Oyler-McCance, J.A. Ficke, T.B. Cross, and M.K. Schwartz. (2016).
Latent spatial models and sampling design for landscape genetics.
Annals of Applied Statistics, 10: 1041-1062. (pdf)
- Hefley, T.J. and M.B. Hooten. (2016).
Hierarchical species distribution models.
Current Landscape Ecology Reports: 1-16. (pdf)
- Wikle, C.K., W.M. Leeds, and M.B. Hooten. (2016)
Models for ecological models: Ocean primary productivity.
Chance, 29 (2): 23. (pdf)
- Tipton, J., M.B. Hooten, N. Pederson, M. Tingley, and D. Bishop. (2016).
Reconstruction of late Holocene climate based on tree growth and mechanistic hierarchical models.
Environmetrics, 27: 42-54. (pdf) (ASA ENVR Student Paper Award, 2015)
- Buderman, F.E., M.B. Hooten, J.S. Ivan, and T.M. Shenk. (2016).
A functional model for characterizing long distance movement behavior.
Methods in Ecology and Evolution, 7: 264-273. (pdf)
- Broms, K.M., M.B. Hooten, D.S. Johnson, L.L. Conquest, and R. Altwegg. (2016).
Dynamic occupancy models for explicit colonization processes.
Ecology, 97: 194-204. (pdf)
2015
- Raiho, A., M.B. Hooten, S. Bates, and N.T. Hobbs. (2015).
Forecasting the effects of fertility control on overabundant ungulates: White-tailed deer in the National Capital region.
PLoS One, 10: e0143122. (pdf)
- Brost, B.M., M.B. Hooten, E.M. Hanks, and R.J. Small. (2015).
Animal movement constraints improve resource selection inference in the presence of telemetry error.
Ecology, 96: 2590-2597. (pdf)
- Hefley, T.J. and M.B. Hooten. (2015). On the existence of maximum likelihood estimates for presence-only data. Methods in Ecology and Evolution, 6: 648-655. (pdf)
- Hobbs, N.T., C. Geremia, J. Trainor, R. Wallen, P.J. White, M.B. Hooten, and J.C. Rhyan. (2015).
State-space modeling to support adaptive management of brucellosis in the Yellowstone bison population.
Ecological Monographs, 85: 525-556. (pdf)
- Schmelter, M.L., P. Wilcock, M.B. Hooten, and D.K. Stevens. (2015).
Multi-fraction Bayesian sediment transport model.
Journal of Marine Science and Engineering, 3: 1066-1092. (pdf)
- Ross, B.E., M.B. Hooten, J-M DeVink, and D.N. Koons. (2015).
Combined effects of climate, predation, and density dependence on Greater and Lesser Scaup population dynamics.
Ecological Applications, 25: 1606-1617.
(pdf)
- Gerber, B.D., W.L. Kendall, M.B. Hooten, J.A. Dubovsky, and R.C. Drewien. (2015).
Optimal population prediction of sandhill crane recruitment based on climate-mediated habitat limitations.
Journal of Animal Ecology, 84: 1299-1310. (pdf)
- Hanks, E.M., M.B. Hooten, and M. Alldredge. (2015).
Continuous-time discrete-space models for animal movement.
Annals of Applied Statistics, 9: 145-165. (pdf)
- Conn, P.B., Johnson, D.S., J.M. Ver Hoef, M.B. Hooten, J.M. London, and P.L. Boveng. (2015).
Using spatio-temporal models to estimate animal abundance and infer ecological dynamics from survey counts.
Ecological Monographs, 85: 235-252. (pdf)
- Hanks, E.M., E. Schliep, M.B. Hooten, and J.A. Hoeting. (2015).
Restricted spatial regression in practice: Geostatistical models, confounding, and robustness under model misspecification.
Environmetrics, 26: 243-254. (pdf)
- Hooten, M.B. and N.T. Hobbs. (2015).
A guide to Bayesian model selection for ecologists.
Ecological Monographs, 85: 3-28. (pdf) (updated code)
- Broms, K.M., M.B. Hooten, and R. Fitzpatrick. (2015).
Accounting for imperfect detection in Hill numbers for biodiversity studies.
Methods in Ecology and Evolution, 6: 99-108. (pdf)
- Wikle, C.K. and M.B. Hooten. (2015).
Hierarchical agent-based spatio-temporal dynamic models for discrete valued data. Davis, R., S. Holan, R. Lund, and N. Ravishanker (eds.),
Handbook of Discrete-Valued Time Series.
2014
- Davis, A.J., M.B. Hooten, M.L. Phillips, and P.F. Doherty. (2014).
An integrated modeling approach to estimating Gunnison sage-grouse population dynamics: Combining index and demographic data.
Ecology and Evolution, 4: 4247-4257. (pdf)
- McClintock, B.T., D.S. Johnson, M.B. Hooten, J.M. Ver Hoef, and J.M. Morales. (2014).
When to be discrete: the importance of time formulation in understanding animal movement.
Movement Ecology, 2: 21. (pdf)
- Odei, J.B., J. Symanzik, and M.B. Hooten. (2014).
A Bayesian hierarchical model for forecasting intermountain snow dynamics.
Environmetrics, 25: 324-340. (pdf)
- Garlick, M.J., J.A. Powell, M.B. Hooten, and L. McFarlane. (2014).
Homogenization, sex, and differential motility predict spread of chronic wasting disease in mule deer in Southern Utah.
Journal of Mathematical Biology, 69: 369-399. (pdf)
- Hooten, M.B., E.M. Hanks, D.S. Johnson, and M.W. Alldredge. (2014).
Temporal variation and scale in movement-based resource selection functions.
Statistical Methodology, 17: 82-98. (pdf)
2013
- Milliff, R.F., J. Fiechter, W.B. Leeds, R. Herbei, C.K. Wikle, M.B. Hooten, A.M. Moore, T.M. Powell, and J.L. Br
own. (2013).
Uncertainty management in coupled physical-biological lower-trophic level ocean ecosystem models.
Oceanography, 24: 98-115. (pdf)
- Green, A.W., M.B. Hooten, E.H.C. Grant, and L.L. Bailey. (2013).
Evaluating breeding and metamorph occupancy and vernal pool management effects for wood frogs using a hierarchical model.
Journal of Applied Ecology, 50: 1116-1123. (pdf)
- Johnson, D.S., M.B. Hooten, and C.E. Kuhn. (2013).
Estimating animal resource selection from telemetry data using point process models.
Journal of Animal Ecology, 82: 1155-1164. (pdf)
- Hooten, M.B., E.M. Hanks, D.S. Johnson, and M.W. Alldredge. (2013).
Reconciling resource utilization and resource selection functions.
Journal of Animal Ecology, 82: 1146-1154. (pdf)
- Hooten, M.B., M.J. Garlick, and J.A. Powell. (2013).
Computationally efficient statistical differential equation modeling using homogenization.
Journal of Agricultural, Biological and Environmental Statistics, 18: 405-428. (pdf)
- Northrup, J.M., M.B. Hooten, C.R. Anderson, and G. Wittemyer. (2013).
Practical guidance on characterizing availability in resource selection functions under a use-availability design.
Ecology, 94: 1456-1464. (pdf)
- Johnson, D.S., P.B. Conn, M.B. Hooten, J. Ray, and B. Pond. (2013).
Spatial occupancy models for large data sets.
Ecology, 94: 801-808. (pdf)
- Roberts, J.J., K.D. Fausch, D.P. Peterson, and M.B. Hooten. (2013).
Fragmentation and thermal risks from climate change interact to affect persistence of native trout in the Colorado River basin.
Global Change Biology, 19: 1383-1398. (pdf)
- Hanks, E.M. and M.B. Hooten. (2013).
Circuit theory and model-based inference for landscape connectivity.
Journal of the American Statistical Association, 108: 22-33. (pdf)
- Cruz, S.M., M.B. Hooten, K.P. Huyvaert, C. Proano, D.J. Anderson, J. Fox, and M. Wikelski. (2013).
At-sea behavior varies with lunar phase in a nocturnal pelagic seabird, the swallow-tailed gull.
PLoS One, 8: e56889. (pdf)
2012
- Ross, B.E., M.B. Hooten, and D.N. Koons. (2012).
An accessible method for implementing hierarchical models with spatio-temporal abundance data.
PLoS One, 7: e49395. (pdf)
- Lepak, J.M., C.N. Cathcart, and M.B. Hooten. (2012).
Otolith weight as a predictor of age in kokanee salmon (Oncorhynchus nerka) from four Colorado reservoirs.
Canadian Journal of Fisheries and Aquatic Sciences, 69: 1569-1575. (pdf)
- Lepak, J.M., M.B. Hooten, and B.M. Johnson. (2012).
The influence of marine subsidies on diet, growth, and Hg concentrations of freshwater sport fish: tertiary impacts on fisheries and human health.
Ecotoxicology, 21: 1878-1888. (pdf)
- Hooten, M.B., B.E. Ross, and C.K. Wikle. (2012).
Optimal spatio-temporal monitoring designs for characterizing population trends.
Gitzen, R.A., J.J. Millspaugh, A.B. Cooper, and D.S. Licht (eds). In: Design and Analysis of Long-Term Ecological Monitoring Studies. Cambridge University Press. (pdf)
2011
- Haas, S.E., M.B. Hooten, D. Rizzo, and R.K. Meentemeyer. (2011).
Forest species diversity reduces disease risk in a generalist plant pathogen invasion.
Ecology Letters, 14: 1108-1116. (pdf)
- Hooten, M.B., W.B. Leeds, J. Fiechter, and C.K. Wikle. (2011).
Assessing first-order emulator inference for physical parameters in nonlinear mechanistic models.
Journal of Agricultural, Biological and Environmental Statistics, 16: 475-494. (pdf)
- Schmelter, M.L., M.B. Hooten and D.K. Stevens. (2011).
Bayesian sediment transport model for uni-size bedload.
Water Resources Research, 47, W11514. (pdf)
- Garlick, M.J., J.A. Powell, M.B. Hooten, and L. McFarlane. (2011).
Homogenization of large-scale movement models in ecology.
Bulletin of Mathematical Biology, 73: 2088-2108. (pdf)
- Xiao, X., E.P. White, M.B. Hooten, and S.L. Durham. (2011).
On the use of log-transformation vs. nonlinear regression for analyzing biological power-laws.
Ecology, 92: 1887-1894. (pdf)
- Hanks, E.M., M.B. Hooten, D.S. Johnson, and J. Sterling. (2011).
Velocity based movement modeling for individual and population level inference.
PLoS One, 6(8), e22795. (pdf)
- Hanks, E.M., M.B. Hooten, and F.A. Baker. (2011).
Reconciling multiple data sources to improve accuracy of large-scale prediction of forest disease incidence.
Ecological Applications, 24: 1173-1188. (pdf)
- Dalgleish, H.J., D.N. Koons, M.B. Hooten, C.A. Moffet, and P.B. Adler. (2011).
The influence of climate on the demography of three dominant sagebrush steppe plants.
Ecology, 92: 75-85. (pdf)
- Hooten, M.B. (2011).
The State of Spatial and Spatio-Temporal Statistical Modeling. In: Predictive Modeling in Landscape Ecology. Drew A., F. Huettman, and Y. Wiersma (eds). In: Predictive Modeling in Landscape Ecology. (pdf)
2010
- Hanks, E.M., M.B. Hooten, L. McFarlane and K.E. Mock. (2010).
Model based approaches for characterizing environmental effects on spatial gene flow.
In JSM Proceedings, Section on Statistics and the Environment. Alexandria, VA: American Statistical Association. 4113-4126. (pdf)
- Hooten, M.B., Johnson, D.S., Hanks, E.M., and J.H. Lowry. (2010).
Agent-based inference for animal movement and selection.
Journal of Agricultural, Biological and Environmental Statistics, 15: 523-538. (pdf)
- Wikle, C.K. and M.B. Hooten (2010).
A general science-based framework for nonlinear spatio-temporal dynamical models.
Test, 19: 417-451. (pdf)
- Wilson, R.R., T.L. Blankenship, M.B. Hooten, and J.A. Shivik. (2010).
Prey-mediated avoidance of an intraguild predator by its intraguild prey.
Oecologia, 164: 921-929. (pdf)
- Wilson, R.R., M.B. Hooten, B.N. Strobel, and J.A. Shivik (2010).
Accounting for individuals, uncertainty, and multi-scale clustering in core area estimation.
Journal of Wildlife Management, 74: 1343-1352. (pdf)
- Hooten, M.B., Anderson, J., and L.A. Waller. (2010).
Assessing North American influenza dynamics with a statistical SIRS model.
Spatial and Spatio-Temporal Epidemiology, 1: 177-185. (pdf)
- Nippert, J.B., M.B. Hooten, D.R. Sandquist, and J.K. Ward (2010).
A model for predicting El Nino events using tree-ring cellulose del18O.
Journal of Geophysical Research, 115: 1-9. (pdf)
- Hooten, M.B. and C.K. Wikle (2010).
Statistical agent-based models for discrete spatio-temporal systems.
Journal of the American Statistical Association, 105: 236-248. (pdf)
- Wilson, T.L., J.B. Odei, M.B. Hooten, and T.C. Edwards (2010).
Hierarchical spatial models for predicting pygmy rabbit distribution and relative abundance.
Journal of Applied Ecology, 47: 401-409. (BBC News Feature) (pdf)
- Larsen, R.T., J.A. Bissonette, J.T. Flinders, M.B. Hooten, and T.L. Wilson (2010).
Summer spatial patterning of Chukars in relation to free water in Western Utah.
Landscape Ecology, 25: 135-145. (pdf)
2009
- Odei, J.B., M.B. Hooten, and J. Jin. (2009).
Hierarchical spatio-temporal models for intermountain snow water storage.
In JSM Proceedings, Section on Statistics and the Environment. Alexandria, VA: American Statistical Association. 870-878. (pdf)
- Hooten, M.B., C.K. Wikle, L.D. Carlile, R. Warner, and D. Pitts (2009).
Hierarchical population models for the red-cockaded woodpecker. Rich, T.D., M. C. Arizmendi, D. Demarest and C. Thompson (eds). Tundra to Tropics: Connecting Birds, Habitats and People. Proceedings of the 4th International Partners in Flight Conference, 13-16 February 2008. McAllen, TX. University of Texas-Pan American Press. Edinburg, TX. pgs. 354-364. (pdf)
- Cangelosi, A.R. and M.B. Hooten (2009).
Models for Bounded Systems with Continuous Dynamics.
Biometrics, 65: 850-856. (pdf)
- Hooten, M.B., M.J. Garlick, and J.A. Powell. (2009).
Advantageous change of support in inverse implementations of statistical differential equation models.
In JSM Proceedings, Section on Bayesian Statistical Science. Alexandria, VA: American Statistical Association. 1847-1857. (pdf)
- Hooten, M.B., C.K. Wikle, S. Sheriff, and J. Rushin (2009).
Optimal spatio-temporal hybrid sampling designs for ecological monitoring.
Journal of Vegetation Science, 20: 639-649. (pdf)
2008
- Hooten, M.B, R.R. Wilson, and J.A. Shivik (2008).
Hard core or soft core: On the characterization of animal space use. 2008 Proceedings of the American Statistical Association [CD-ROM], Alexandria, VA: American Statistical Association: pp. 1301-1308. (pdf)
- Mock, K.E., C.A. Rowe, M.B. Hooten, J. DeWoody, and V.D. Hipkins (2008).
Clonal dynamics in western North American aspen (Populus tremuloides).
Molecular Ecology, 17: 4827-4844. (pdf)
- Hooten, M.B. and C.K. Wikle (2008).
A Hierarchical Bayesian non-linear spatio-temporal model for the spread of invasive species with application to the Eurasian Collared-Dove.
Environmental and Ecological Statistics, 15: 59-70. (pdf)
2007
- Hooten, M.B. and C.K. Wikle (2007).
Invasions, Epidemics, and Binary Data in a Cellular World. 2007 Proceedings of the American Statistical Association [CD-ROM], Alexandria, VA: American Statistical Association: pp. 3999-4010. (pdf)
- Cangelosi, A.R. and M.B. Hooten (2007).
Approximations to Continuous Dynamical Processes in Hierarchical Models. 2007 Proceedings of the American Statistical Association [CD-ROM], Alexandria, VA: American Statistical Association: pp. 1281-1287. (pdf)
- Hooten, M.B. (2007).
Journal of the American Statistical Association. Book Review: Le, N.D. and J.V. Zidek. (2006) Statistical Analysis of Environmental Space-Time Processes. Springer-Verlag.
- Arab, A., M.B. Hooten, and C.K. Wikle (2007).
Hierarchical Spatial Models.
In: Encyclopedia of Geographical Information Science. Springer. (pdf)
- Hooten, M.B., C.K. Wikle, R.M. Dorazio, and J.A. Royle (2007).
Hierarchical spatio-temporal matrix models for characterizing invasions.
Biometrics, 63: 558-567. (pdf)
- Hooten, M.B. and C.K. Wikle (2007).
Shifts in the spatio-temporal growth dynamics of shortleaf pine.
Environmental and Ecological Statistics, 14: 207-227. (pdf)
- He, H.S., D.C. Dey, X. Fan, M.B. Hooten, J.M. Kabrick, C.K. Wikle, and Z. Fan (2007).
Mapping pre-European settlement vegetation using a hierarchical Bayesian model and GIS.
Plant Ecology, 191: 85-94. (pdf)
2006
- Hooten, M.B. (2006).
Hierarchical spatio-temporal models for ecological processes.
Ph.D. Dissertation, University of Missouri. Columbia, Missouri. (pdf)
- Hooten, M.B. and C.K. Wikle (2006).
Spatio-temporal processes in ecology: A gentle introduction. Journal of Biogeography, 33: 1150-1152. Book Review: Reiners, W.A. and K.L. Driese. (2004) Transport processes in nature: propagation of ecological influences through environmental space. Cambridge University Press.
- Wikle, C.K. and M.B. Hooten (2006).
Hierarchical Bayesian Spatio-Temporal
Models for Population Spread. Clark, J.S. and A. Gelfand (eds). In: Applications of Computational Statistics in the Environmental Sciences: Hierarchical Bayes and MCMC Methods. Oxford University Press. (pdf)
Pre-2006
- Hooten, M.B., Larsen, D.R., and C.K. Wikle, (2003).
Predicting the spatial distribution of ground
flora on large domains using a hierarchical Bayesian model.
Landscape Ecology , 18: 487-502. (pdf)
- Hooten, M.B. (2001). Modeling the distribution of ground flora on large spatial domains in the Missouri Ozarks. M.S. Thesis, University of Missouri. Columbia, Missouri. (pdf)
Books