David R Hunter

Professor of Statistics, Department Head

David R Hunter

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 Graph Model Random Graphs Mixture Model Model Network Model Clustering Conditional Independence Finite Mixture Models Assignment Approximation Model Based Clustering Genes Simulation Regression Independent Component Analysis Template Genome Health Invariance Semiparametric Estimation Random Effects Maximum Likelihood Estimator Simulation Study Dissolution

Most Recent Papers

RASE: Modeling cumulative disadvantage due to marginalized group status in academia

Sarah Shandera, Jes L. Matsick, David R. Hunter, Louis Leblond, 2021, PLoS One

Alternating Minimization Algorithms

David Hunter, 2021, on p. 1-10

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 R. 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

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

Semiparametric mixtures of regressions

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

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

A Network-based Analysis of the 1861 Hagelloch Measles Data

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

Ergm.userterms: A template package for extending statnet

David R. Hunter, Steven M. Goodreau, Mark S. Handcock, 2013, Journal of Statistical Software on p. 1-25

Semi-parametric estimation for conditional independence multivariate finite mixture models

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

Random effects regression mixtures for analyzing infant habituation

Derek S. Young, David R. 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

Computational and statistical analyses of insertional polymorphic endogenous retroviruses in a non-model organism

Le Bao, Daniel Elleder, Raunaq Malhotra, Michael DeGiorgio, Theodora Maravegias, Lindsay Horvath, Laura Carrel, Colin Gillin, Tomáš Hron, Helena Fábryová, David R. Hunter, Mary Poss, 2014, Computation on p. 221-245

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