David R Hunter

Professor of Statistics, Department Head

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 Random Graphs Graph Model Clustering Conditional Independence Finite Mixture Models Independent Component Analysis Mixture Model Model Model Based Clustering Network Model Random Effects Health Semiparametric Estimation Template Invariance Modeling Simulation Study Dissolution Approximation Statistics Trajectory Dynamic Networks Framework Objective Function

Most Recent Publications

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

Kevin H. Lee, Lingzhou Xue, David R. Hunter, 2020, Journal of Multivariate Analysis on p. 104540

SDSS 2020 to Feature Refereed Submissions

David Hunter, 2019, AmStat News on p. 1

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

An expansive view of EM algorithms

David Hunter, Prabhani Kuruppumullage Don, Prabhani Don, B Lindsay, 2019, on p. 41--54

Most-Cited Papers

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

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

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

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

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

Kevin H. Lee, Lingzhou Xue, David R. Hunter, 2020, Journal of Multivariate Analysis on p. 104540

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

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

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

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