David Hunter

I received my Ph.D. in 1999 from the Department of Statistics
at the University of Michigan in Ann Arbor, Michigan.

During the 2007-8 academic year, I was on sabbatical at the University of Orléans, France, partially supported by le Studium, an agency of the CNRS (basically the French version of NSF) that supports researchers visiting the Centre region of France from abroad. We kept a blog of the year.

Courses

This semester I'm teaching STAT 515, Stochastic Processes I.

In past semesters, I've taught:

• PSU 016, Statistics first-year seminar (fall 2011 and fall 2010 and fall 2009 and fall 2008 and fall 2006 and fall 2005)
• STAT 100, Statistical concepts and reasoning (fall 2008 and fall 2005 and spring 2005 and spring 2004)
• STAT 200H, Honors Elementary Statistics (fall 2002 and fall 1999)
• STAT 220, Basic Statistics for Quantitative Students (spring 2006)
• STAT 250H, Honors Biostatistics (spring 2003 and spring 2002)
• STAT 401, Experimental Methods (spring 2004 and spring 2000)
• STAT 414, Introduction to Probability Theory (fall 2010 and fall 2009 and spring 2009)
• STAT 460, Intermediate Applied Statistics (fall 2001 and spring 2000)
• STAT 525, Survival Analysis I (spring 2011)
• STAT 553, Asymptotic Tools (fall 2011 and fall 2006 and fall 2004 and fall 2003 and fall 2002 and fall 2001 and fall 2000)
• STAT 597D, Statistical genetics and bioinformatics (spring 2001)

Assorted (not-so-recent) talks / tutorials / conferences

• ERGMs for networks, March 2006, along with supporting files and beamer user guide.
• Generalizing Hodges-Lehmann, ENAR 2006
• MM algorithms, UCLA 2007
• R tutorial for astronomers
• ERGMs for social networks, Society for Political Methodology 2007; et presque la même chose en français, Université d'Orléans 2007 (with many thanks to Didier Chauveau for help with the translation)
• Nonparametric mixture models, Séminaire Parisien de Statistiques 2008
• A few illustrative examples in R
• Nonparametric Statistics and Mixture Models: A conference in honor of Tom Hettmansperger
• Semiparametric Mixtures of Regressions, Pau 2008

Papers

• Hunter DR and Young DS (2012), Semiparametric Mixtures of Regressions, Journal of Nonparametric Statistics, 24 (1): 19-38.
• Hummel RM, Hunter DR, Handcock MS (2011), Improving Simulation-Based Algorithms for Fitting ERGMs, Journal of Computational and Graphical Statistics, to appear. Here is the supplemental code.
• Vu DQ, Asuncion AU, Hunter DR, Smyth P (2011), Continuous-Time Regression Models for Longitudinal Networks, Advances in Neural Information Processing Systems 24 (NIPS 2011), 2492-2500.
• Groendyke C, Welch D, Hunter DR (2011), Bayesian Inference for Contact Networks Given Epidemic Data, Scandanavian Journal of Statistics, 38 (3): 600-616.
• Vu DQ, Asuncion AU, Hunter DR, Smyth P (2011), Dynamic Egocentric Models for Citation Networks, Proceedings of the 28th International Conference on Machine Learning (ICML 2011), 857-864.
• Levine M, Hunter DR, Chauveau D (2011), Maximum Smoothed Likelihood for Multivariate Mixtures, Biometrika, 98 (2): 403-416.
• Groendyke C, Welch D, Hunter DR (2011), A Network-Based Analysis of the 1861 Hagelloch Measles Data, Penn State Department of Statistics Technical Report #11-03.
• Hunter DR, Goodreau SM, Handcock MS (2011), ergm.userterms: A Template Package for Extending statnet
• Welch D, Bansal S, Hunter DR (2011), Statistical inference to advance network models in epidemiology, Epidemics, 3: 38-45.
• Benaglia T, Chauveau D, Hunter DR (2011), Bandwidth Selection in an EM-like Algorithm for Nonparametric Multivariate Mixtures, in DR Hunter, DSP Richards, and JL Rosenberger (eds.), Nonparametric Statistics and Mixture Models: A Festschrift in Honor of Thomas P. Hettmansperger, (World Scientific, Singapore), pp. 15-27.
• Chauveau D, Hunter DR, Levine M (2010), Estimation for Conditional Independence Multivariate Finite Mixture Models, Penn State Department of Statistics Technical Report 10-06.
• Young DS, Hunter DR (2010), Mixtures of Regressions with Predictor-Dependent Mixing Proportions, Computational Statistics and Data Analysis, 54 (10): 2253-2266.
• Benaglia T, Chauveau D, Hunter DR, and Young DS (2009), mixtools: An R Package for Analyzing Finite Mixture Models, Journal of Statistical Software, 32(6). URL http://www.jstatsoft.org/v32/i06.
• Benaglia T, Chauveau D, and Hunter DR (2009), An EM-like algorithm for semi- and non-parametric estimation in multivariate mixtures, Journal of Computational and Graphical Statistics, 18: 505-526.
• Hunter DR, Goodreau SM, and Handcock MS (2008), Goodness of fit of social network models, Journal of the American Statistical Association, 103: 248-258.
• Handcock MS, Hunter DR, Butts CT, Goodreau SM, and Morris M (2008), statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data, Journal of Statistical Software, 24(1). URL http://www.jstatsoft.org/v24/i01
• Hunter DR, Handcock MS, Butts CT, Goodreau SM, and Morris M (2008), ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks, Journal of Statistical Software, 24(3). URL http://www.jstatsoft.org/v24/i03
• Morris M, Handcock MS, and Hunter DR (2008), Specification of Exponential-Family Random Graph Models: Terms and Computational Aspects, Journal of Statistical Software, 24(4). URL http://www.jstatsoft.org/v24/i04
• Goodreau SM, Handcock MS, Hunter DR, Butts CT, and Morris M (2008), A statnet Tutorial, Journal of Statistical Software, 24(9). URL http://www.jstatsoft.org/v24/i09
• Hunter DR, Wang S, and Hettmansperger TP (2007), Inference for mixtures of symmetric distributions, Annals of Statistics, 35: 224-251.
• Hunter DR (2007), Curved exponential family models for social networks, Social Networks, 29: 216-230.
• Hunter DR and Handcock MS (2006), Inference in curved exponential family models for networks, Journal of Computational and Graphical Statistics, 15: 565-583.
• Hunter DR and Li R (2005), Variable selection using MM algorithms, Annals of Statistics, 33: 1617-1642.
• Hunter DR (2005), Teaching computing in statistical theory courses, The American Statistician, 59: 327-333.
• Hunter DR (2004), MM algorithms for generalized Bradley-Terry models, Annals of Statistics , 32: 386-408.
• Hunter DR and Lange K (2004), A Tutorial on MM Algorithms, The American Statistician, 58: 30-37.
• Hunter DR (2003), On the geometry of EM algorithms, Penn State Department of Statistics Technical Report 0303.
• Hunter DR and Lange K (2002), Computing estimates in the proportional odds model, Annals of the Institute of Statistical Mathematics, 54: 155-168.
• Lange K, Hunter DR, Yang I (2000), Optimization transfer using surrogate objective functions, Journal of Computational and Graphical Statistics, 9: 1-20.
• Hunter DR and Lange K (2000), Rejoinder to discussion of "Optimization transfer using surrogate objective functions", Journal of Computational and Graphical Statistics, 9: 52-59.
• Hunter DR and Lange K (2000), Quantile regression via an MM algorithm, Journal of Computational and Graphical Statistics, 9: 60-77.

Book