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

These publication tags are generated from the output of this researcher. Click any tag below to view other Huck researchers working on the same topic.

Mixture Model Conditional Independence Finite Mixture Models Genes Genome Clustering Assignment Model Semiparametric Estimation Network Model Random Effects Independent Component Analysis Invariance Dissolution Genomics Trajectory Approximation Longitudinal Data Sequencing Animals Dynamic Networks Likelihood Dynamic Model Normal Mixture Approximation Methods

Most Recent Publications

Christian S. Schmid, David R. Hunter, 2024, Social Networks on p. 209-214

Bomin Kim, Xiaoyue Niu, David Hunter, Xun Cao, 2023, Annals of Applied Statistics on p. 3283-3299

David Hunter, 2023, Wiley Interdisciplinary Reviews: Computational Statistics on p. 11

Christian Schmid, David Hunter, 2023, Journal of Data Science on p. 295-309

Pavel N. Krivitsky, David Hunter, Martina Morris, Chad Klumb, 2023, Journal of Statistical Software on p. 1-44

Pavel N. Krivitsky, Alina R. Kuvelkar, David R. Hunter, 2023, Electronic Journal of Statistics on p. 3337-3356

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

Monia Ranalli, Bruce G. Lindsay, David R. Hunter, 2020, Statistica Sinica on p. 1235-1254

Most-Cited Papers

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

Pavel N. Krivitsky, David Hunter, Martina Morris, Chad Klumb, 2023, Journal of Statistical Software on p. 1-44

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

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

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

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

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

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

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, M Poss, Mary Poss, R Acharya, Raj Acharya, 2016, Proceedings of the 8th International Conference on Bioinformatics and Computational Biology, BICOB on p. 63-68