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