Skip to main content

Martin Tanner

Professor of Statistics

Ph.D., 1982, University of Chicago

Research Interests

My research interests include Markov chain Monte Carlo methods for Bayesian and frequentist inference, nonparametric estimation of the hazard function for right-censored and interval-censored data, methodology for ecological Inference, applications of multiple imputation to censored regression data, as well as models and measures of interrater agreement/ disagreement. My recent work considers the use of Bayesian inference in mixtures-of-experts and hierarchical mixtures-of-experts neural network architectures.

Recent Publications

Mixtures of marginal models (with Ori Rosen and Wenxin Jiang) Biometrika 87 (2000), 391-404.

Binomial-beta hierarchical models for ecological inference (with Gary King and Ori Rosen) Sociological Methods and Research 28 (1999), 61-90.

Bayesian inference in mixtures-of-experts and hierarchical mixtures-of-experts models with an application to speech recognition (with F. Peng and R. Jacobs). Journal of the American Statistical Association 91 (1996), 953-960.

Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions (1996), Springer-Verlag, 3rd ed. 

The calculation of posterior distributions by data augmentation (with discussion) (with W H. Wong). Journal of the American Statistical Association 82 (1987), 528-50.

Back to top