David R Hunter
Professor of Statistics, Department Head

- He/Him
- dhunter@stat.psu.edu
- 814-863-0979
Research Summary
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/.
Huck Affiliations
Publication Tags
Exponential Family Social Networks Mixture Model Graph Model Random Graphs Network Model Conditional Independence Model Maximum Likelihood Likelihood Finite Mixture Models Invariance Bayesian Inference Epidemics Health Clustering Independent Component Analysis Assignment Simulation Genome Genes Maximum Likelihood Estimator Social Sciences Statistical Models Simulation StudyMost Recent Papers
SDSS 2020: Different, but (Mostly) Good
David Hunter, 2020, AmStat News on p. 1
A classical invariance approach to the normal mixture problem
Monia Ranalli, Bruce G. Lindsay, David R. Hunter, 2020, Statistica Sinica on p. 1235-1254
SDSS: Data Science and Statistics on the Pittsburgh Waterfront
David Hunter, Zhi Yang, Donna LaLonde, 2020, AmStat News on p. 1
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
SDSS 2020 to Feature Refereed Submissions
David Hunter, 2019, AmStat News on p. 1
Clustering via finite nonparametric ICA mixture models
Xiaotian Zhu, David Russell Hunter, 2019, Advances in Data Analysis and Classification on p. 65-87
A statistician’s view of network modeling
David R. Hunter, 2019, on p. 23-41
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
A pipeline for identifying integration sites of mobile elements in the genome using next-generation sequencing
Raunaq Malhotra, Daniel Elleder, Le Bao, David R. Hunter, Mary Poss, Raj Acharya, 2016, on p. 63-68
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
Continuous-time regression models for longitudinal networks
Duy Q. Vu, Arthur U. Asuncion, David R. Hunter, Padhraic Smyth, 2011,
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
Statistical inference to advance network models in epidemiology
David Welch, Shweta Bansal, David R. Hunter, 2011, Epidemics on p. 38-45
Semiparametric mixtures of regressions
David R. Hunter, Derek S. Young, 2012, Journal of Nonparametric Statistics on p. 19-38
Dynamic egocentric models for citation networks
Duy Q. Vu, Arthur U. Asuncion, David R. Hunter, Padhraic Smyth, 2011, on p. 857-864
Maximum smoothed likelihood for multivariate mixtures
M. Levine, D. R. Hunter, D. Chauveau, 2011, Biometrika on p. 403-416
Bayesian Inference for Contact Networks Given Epidemic Data
Chris Groendyke, David Welch, David R. Hunter, 2011, Scandinavian Journal of Statistics on p. 600-616
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