## 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