David R Hunter

David R Hunter

Professor of Statistics, Department Head

Bio

I work on statistical models for networks, mixture models, and certain optimization algorithms called MM algorithms. A full list of papers and related work, such as software, may be found at http://sites.stat.psu.edu/~dhunter/.

Publication Tags

Finite Mixture Models Conditional Independence Network Model Model Exponential Family Social Networks Clustering Mixture Model Graph Model Random Graphs Health Semiparametric Estimation Regression Model Based Clustering Framework Simulation Maximum Likelihood Approximation Modeling Demonstrate Assignment Random Effects Bayesian Inference Independent Component Analysis Measles

Most Recent Papers

Model-based clustering of time-evolving networks through temporal exponential-family random graph models

Kevin H. Lee, Lingzhou Xue, David R. Hunter, 2020, Journal of Multivariate Analysis

Clustering via finite nonparametric ICA mixture models

Xiaotian Zhu, David Russell Hunter, 2019, Advances in Data Analysis and Classification on p. 65-87

Assignment of endogenous retrovirus integration sites using a mixture model

David R. Hunter, Le Bao, Mary Poss, 2017, Annals of Applied Statistics on p. 751-770

Theoretical grounding for estimation in conditional independence multivariate finite mixture models

Xiaotian Zhu, David R. Hunter, 2016, Journal of Nonparametric Statistics on p. 683-701

Random effects regression mixtures for analyzing infant habituation

Derek S. Young, David Russell Hunter, 2015, Journal of Applied Statistics on p. 1421-1441

An Approximation Method for Improving Dynamic Network Model Fitting

Nicole Bohme Carnegie, Pavel N. Krivitsky, David R. Hunter, Steven M. Goodreau, 2015, Journal of Computational and Graphical Statistics on p. 502-519

Semi-parametric estimation for conditional independence multivariate finite mixture models

Didier Chauveau, David R. Hunter, Michael Levine, 2015, Statistics Surveys

Model-based clustering of large networks

Duy Q. Vu, David R. Hunter, Michael Schweinberger, 2013, Annals of Applied Statistics on p. 1010-1039

The dynamics of health behavior sentiments on a large online social network

Marcel Salathé, Duy Q. Vu, Shashank Khandelwal, David R. Hunter, 2013, EPJ Data Science on p. 1-12

A Network-based Analysis of the 1861 Hagelloch Measles Data

Chris Groendyke, David Welch, David R. Hunter, 2012, Biometrics on p. 755-765

Recent Most-Cited Papers

The dynamics of health behavior sentiments on a large online social network

Marcel Salathé, Duy Q. Vu, Shashank Khandelwal, David R. Hunter, 2013, EPJ Data Science on p. 1-12

Mixtures of regressions with predictor-dependent mixing proportions

D. S. Young, David Russell Hunter, 2010, Computational Statistics and Data Analysis on p. 2253-2266

Computational statistical methods for social network models

David R. Hunter, Pavel N. Krivitsky, Michael Schweinberger, 2012, Journal of Computational and Graphical Statistics on p. 856-882

Semiparametric mixtures of regressions

David R. Hunter, Derek S. Young, 2012, Journal of Nonparametric Statistics on p. 19-38

Bayesian Inference for Contact Networks Given Epidemic Data

Chris Groendyke, David Welch, David R. Hunter, 2011, Scandinavian Journal of Statistics on p. 600-616

Maximum smoothed likelihood for multivariate mixtures

M. Levine, D. R. Hunter, D. Chauveau, 2011, Biometrika on p. 403-416

A Network-based Analysis of the 1861 Hagelloch Measles Data

Chris Groendyke, David Welch, David R. Hunter, 2012, Biometrics on p. 755-765

Improving simulation-based algorithms for fitting ERGMs

Ruth M. Hummel, David R. Hunter, Mark S. Handcock, 2012, Journal of Computational and Graphical Statistics on p. 920-939

Model-based clustering of large networks

Duy Q. Vu, David R. Hunter, Michael Schweinberger, 2013, Annals of Applied Statistics on p. 1010-1039

Semi-parametric estimation for conditional independence multivariate finite mixture models

Didier Chauveau, David R. Hunter, Michael Levine, 2015, Statistics Surveys