Publications

Refereed Proceedings

Technical Reports

Book Reviews

Manuscripts Submitted or Revised

 

Publications

Bullet Sienkiewicz, E. and Wang, H. (2017). Pareto Quantiles of Unlabeled Tree Objects. Accepted by the Annals of Statistics.

Bullet Meyer, M.C., Kim, S. and Wang, H. (2017). Convergence rates for constrained regression splines. Accepted by Journal of Statistical Planning and Inference.

Bullet Santamaria, I., Schard, L.L., Via, J., Wang, H. and Wang, Y. (2017). Passive Detection of Correlated Subspace Signals in Two MIMO Channels. IEEE Transactions on Signal Processing, 65, 5266-5280.

Bullet Sienkiewicz, E., Song, D., Breidt, F.J. and Wang, H. (2017). Sparse Functional Dynamical Models --- a Big Data Approach. Journal of Computational and Graphical Statistics, 26, 319-329. (Web)

Bullet Lin, Z., Cao, J., Wang, L. and Wang, H. (2017). Locally Sparse Estimator for Functional Linear Regression Models. Journal of Computational and Graphical Statistics, 26, 306-318

Bullet Koehler, K., Zhu, J., Wang, H. and Peters, T. (2017). Sampling Strategies for Accurate Hazard Mapping of Noise and Other Hazards Using Short-Duration Measurements. Annals of Work Exposures and Health, 61, 183-194.

Bullet Ludwig, G., Chu, T., Zhu, J., Wang, H. and Koehler, K. (2017). Static and Roving Sensor Data Fusion for Spatio-Temporal Hazard Mapping with Application to Occupational Exposure Assessment. The Annals of Applied Statistics, 11, 139-160.

Bullet Wang, H. and Kai, B. (2015). Functional Sparsity: Global versus Local. Statistica Sinica, 25, 1337-1354.

Bullet Hayne, S., Wang, H. and Wang, L. (2015). Modeling Reputation as a Time-Series: Evaluating the Risk of Purchase Decisions on eBay. Decision Sciences, 46, 1077-1107.

Bullet Lake, K., Zhu, J., Wang, H., Volckens, J. and Koehler, K. (2015). Effects of Data Sparsity and Spatiotemporal Variability on Hazard Maps of Workplace Noise. Journal of Occupational and Environmental Hygiene, 12, 256-265.

Bullet Wang, J., Opsomer, J.D. and Wang, H. (2014). Bagging nondifferentiable estimators in complex surveys. Survey Methodology, 40, 189-209.

Bullet Sienkiewicz, E. and Wang, H. (2014). Discussion: OODA of Graph and Tree Structured Data. Biometrical Journal, 56, 778-780.

Bullet Chu, T., Wang, H. and Zhu, J. (2014). On Semiparametric Inference of Geostatistical Models via Local Karhunen-Loève Expansion. Journal of the Royal Statistical Society, 76, 817-832.

Bullet Wang, Y., Wang, H. and Scharf, L.L. (2014). The Geometry of Fusion Inspired Channel Design. Signal Processing, 99, 136-146.

Bullet Wang, Y., Wang, H. and Scharf, L.L. (2014). Optimum Compression of a Noisy Measurement for Transmission over a Noisy Channel. IEEE Transactions on Signal Processing, 62, 1279-1289.

Bullet Song, D., Wang, H., Tu, C.Y., Marmarelis, V.Z., Hampsone, R.E., Deadwyler, S.A., and Berger, T.W. (2013). Identification of Sparse Neural Functional Connectivity using Penalized Likelihood Estimation and Basis Functions. Journal of Computational Neuroscience, 35, 335-357.

Bullet Chang, H.-W., Iyer, H., Bullitt, E. and Wang, H. (2013). Generalized Linear Mixed Models for Branching Probabilities of Brain Artery Systems. Model Assisted Statistics and Applications, 8, 121-133.(Web)

Bullet Wang, Y., Marron, J.S., Aydin, Ladha, A., Bullitt, E. and Wang, H. (2012). A Nonparametric Regression Model With Tree-Structured Response. Journal of the American Statistical Association, 107, 1272-1285. (Web)

Bullet Tu, C.Y., Song, D., Breidt, J.F., Berger, T.W. and Wang, H. (2012). Functional Model Selection for Sparse Binary Time Series with Multiple Inputs. Economic Time Series: Modeling and Seasonality, 477-497.

Bullet Hayne, S., Wang, H. and Mendonca, S. (2012). eBay as the "Terminator": Determining User Suspension from Feedback Ratings. Journal of Organizational Computing and Electronic Commerce, 22, 160-183.

Bullet Aue, A., Lee, T.C.M. and Wang, H. (2012). Local Bandwidth Selection via Second Derivative Segmentation. Electronic Journal of Statistics, 6, 478-500.

Bullet Aydin, B., Pataki, G., Wang, H., Ladha, A., Bullitt, E. and Marron, J.S. (2012). New Approaches to Principal Component Analysis. Statistics in Biosciences, 4, 132-156.

Bullet Chu, T., Zhu, J. and Wang, H. (2011). Penalized Maximum Likelihood Estimation and Variable Selection in Geostatistics. The Annals of Statistics, 39, 2607-2625. (Technical Report)

Bullet Aydin, B., Pataki, G., Wang, H., Ladha, A., Bullitt, E. and Marron, J.S. (2011). Visualizing the Structure of Large Trees. Electronic Journal of Statistics, 5, 405-420. (Web)

Bullet Al-Qawasmeh, A.M., Maciejewski, A.A., Wang, H., Smith, J., Siegel, H.J., and Potter, J. (2011). Statistical Measures for Quantifying Task and Machine Heterogeneities. The Journal of Supercomputing, special Issue on Advances in Parallel and Distributed Computing, 57, 34-50.

Bullet Hayne, S., Bugbee, B. and Wang, H. (2010). Bidder Behaviours on eBay: Collectibles and Commodities. Electronic Markets, 20, 95-104.

Bullet Aydin, B., Pataki, G., Wang, H., Bullitt, E. and Marron, J.S. (2009). A Principal Component Analysis for Trees. The Annals of Applied Statistics, 3, 1597-1615. (Web)

Bullet Wang, H., Cao, X. and Iyer, H. (2009). Estimation of the Proportion of Differentially Expressed Genes using Hellinger Distance. Statistics in Biosciences, 1, 246-267.

Bullet Wang, H. and Zhu, J. (2009). Variable Selection in Spatial Regression via Penalized Least Squares. The Canadian Journal of Statistics, 37, 607-624.

Bullet Sonderegger, D., Wang, H., Huang, Y. and William, C. (2009). Effects Of Measurement Error On The Strength Of Concentration-Response Relationships In Aquatic Toxicology. Ecotoxicology, 18, 824-828.

Bullet Wang, H. (2009). Measures of Agreement for Vectorcardiography Data. Statistics in Medicine, 28, 1093-1107.

Bullet Sonderegger, D., Wang, H., William, C. and Noon, B. (2009). Using SiZer to detect thresholds in ecological data. Frontiers in Ecology and the Environment, 7, 190-195.

Bullet Wang, H. and Lee, T. C. M. (2008). Extraction of Curvilinear Features from Noisy Point Patterns using Principal Curves. Pattern Recognition Letters, 29, 2078-2084.

Bullet Wang, H. and Marron, J. S. (2007). Object Oriented Data Analysis: Sets of Trees. The Annals of Statistics, 35, 1849-1873. (Web)

Bullet Wang, H. and Iyer, H. (2007). Application of Local Linear Embedding to Nonlinear Exploratory Latent Structure Analysis. Psychometrika, 72, 199-225.

Bullet Wang, H. and Ranalli, M. G. (2007). Low-rank Smoothing Splines on Complex Domains. Biometrics, 63, 209-217.

Bullet Wang, H. and Lee, T. C. M. (2006). Automatic Parameter Selection for a k-Segments Algorithm for Computing Principal Curves. Pattern Recognition Letters, 27, 1142-1150.

 

Refereed Proceedings/Transactions

Bullet Wang, Y. , Scharf, L. L., Santamaria, I. and Wang, H. (2016). Canonical Correlations for Target Detection in a Passive Radar Network. Asilomar Conference on Signals, Systems, and Computers, 1159-1163.

Bullet Wang, Y., Wang, H. and Scharf, L.L. (2013). Scaled Canonical Coordinates for Compression and Transmission of Noisy Sensor Measurements. Asilomar Conference on Signals, Systems, and Computers, 409-413.

Bullet Wang, Y., Wang, H. and Scharf, L.L. (2013). Fusion Inspired Channel Design. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 5392-5396.

Bullet Song, D., Wang, H., and Berger, T.W. (2010). Estimating Sparse Volterra Models using Group L1-Regularization. Proceedings of the 32nd Annual International Conference of the IEEE EMBS, 4128-4131.

Bullet Wang, H. and Lee, T. C. M. (2007). Curvilinear Feature Extraction for Noisy Point Pattern Images. IEEE International Conference on Multimedia & Expo, 1635-1638.

Bullet Lee, T. C. M. and Wang, H. (2006). On a k-Segments Algorithm for Computing Principal Curves. Seventh IEEE Southwest Symposium on Image Analysis and Interpretation, 183-187.

 

Technical Reports

Bullet Chu, T., Zhu, J. and Wang, H. (2011). Penalized Maximum Likelihood Estimation and Variable Selection in Geostatistics. Technical Report, 2011/2, Department of Statistics, Colorado State University.

Bullet Wang, H. (2008). Measures of Agreement for Rotation Matrices with Application to Vectorcardiography Data. Technical Report, 2008/10, Department of Statistics, Colorado State University.

Bullet Aue, A., Lee, T.C.M. and Wang, H. (2008). Local Bandwidth Selection via Second derivative Segmentation. Technical Report, 2008/7, Department of Statistics, Colorado State University.

Bullet Cao, X.,Wang, H., Hess, A., Iyer, H. (2007) Hellinger Distance Estimation of Positive False Discovery Rate – An Application to Microarray Data Analysis. Technical Report, 2007/4, Department of Statistics, Colorado State University

 

Book Review

Bullet Wang, H. (2009). Review of “Nonlinear Dimensionality Reduction”. Biometrics, 65, 665.

 

Manuscritps submitted or revised

Bullet Tu, C.Y., Park, J. and Wang, H. (2015). A Penalized Estimation Procedure for Varying Coefficient Models.

Bullet Chu, T., Zhu, J. and Wang, H. (2016). Semiparametric Covariance Modeling And Inference For Spatio-Temporal Data With Nonseparable And Nonstationary Dependence.

 

 

 

Education

B.S., Nankai University, Tianjin, China

Ph.D., University of North Carolina, Chapel Hill

Current Research Interests

Object Oriented Data Analysis

Spatial Statistics

Information Fusion

Statistical Analysis on Networks

Computational Neuroscience

Contact Information

216 Statistics Building
Department of Statistics
Colorado State University
Fort Collins, CO80523

Email: wanghn@stat.colostate.edu
Voice: 970-491-2449

Acknowlegement of Support

My research has been supported by NSF grants DMS-0706761, DMS-0854903, DMS-1106975, DMS-1521746 and DMS-1737795 as well as grants with other collaborators.