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Peter Mueller

Department Chair, Statistics and Data Science, Professor
Department of Mathematics, Department of Statistics and Data Sciences

Bayesian statistics


Phone: 512-471-6871

Office Location

Postal Address
AUSTIN, TX 78712

Ph.D., Purdue University (1991)

Research Interests

Bayesian analysis and decision making: Markov chain Monte Carlo methods simulation based optimal design, sequential design, dynamic models, clinical trial design.

Nonparametric Bayes: semiparametric mixture models, mixture of Dirichlet process models, random partitions, clustering.

Modeling: dependent gene expression, longitudinal data models, pharmacokinetic/pharmacodynamic models, case-control studies, hierarchical models

Refereed Papers

1. Jiang, F., Lee, J.J., and Muller, P. (2013) A Bayesian decision-theoretic sequentialresponse adaptive randomization design," Statistics in Medicine, to appear, DOI:10.1002/sim.5735.

2. Alejandro Cruz-Marcelo, Gary L. Rosner, Peter Muller, Clinton F. Stewart (2013), "E ect on Prediction when Modeling Covariates in Bayesian Nonparametric Models," Journal of Statistical Theory and Practice, to appear.

3. Lee, J., Quintana, F., Muller, P. and Trippa, L. (2013), "De ning Predictive Probability Functions for Species Sampling Models," Statistical Science, to appear.

4. Mitra, R., Muller, P., Liang, S., Yue, L, and Ji, Y. (2013), "A Bayesian Graphical Model for Chip-Seq Data on Histone Modi cations," Journal of the American Statistical Association, to appear.

5. Leon-Novelo, L., Muller, P., Do, K-A., Arap, W., Sun, J. and Pasqualini, R. (2012), "Semi-Parametric Bayesian Inference for Phage Display Data," Biometrics, to appear, DOI: 10.1111/j.1541-0420.2012.01817.x.

6. Rossell, D. and Muller, P. (2013) Sequential sample sizes for high-throughput hypothesis testing experiments," Biostatistics, 14, 75-86.

7. Leon-Novelo, L., Muller, P., Do, K-A., Arap, W., Sun, J. and Pasqualini, R. (2012), "Bayesian Decision Theoretic Multiple Comparison Procedures: An Application to Phage Display Data", Biometrical Journal, to appear, DOI: 10.1002/bimj.201200051.

8. Ji, Y., Mitra, R., Quintana, F., Muller, P., Jara, A., Liu, P., Lu, Y. and Liang, S. (2012), BM-BC: A Bayesian method of base calling for Solexa sequence data" BMC Bioinformatics, 13:S6, doi:10.1186/1471-2105-13-S13-S6

9. Guoshuai Cai, Hua Li, Yue Lu, Xuelin Huang, Juhee Lee, Peter Muller, Yuan Ji and Shoudan Liang (2012), Accuracy of RNA-Seq and its dependence on sequencing depth," BMC Bioinformatics, 13(Suppl 13):S5 doi:10.1186/1471-2105-13-S13-S5.

10. Di Lucca, M.A., Guglielmi, A., Muller, P., and Quintana, F. (2012), Bayesian autoregressive nonparametric models", Bayesian Analysis, 7, 771{796.

11. Telesca, D., Muller, P, Parmigiani, G., and Freedman, R. (2012), Modeling Dependent Gene Expression", Annals of Applied Statistics, 6, 542-560.

  • Fellow of the American Statistical Association
  • President of the International Society for Bayesian Analysis (2010)
  • Robert R. Herring Dinstinguished Professorship in Clinical Research (2007-2011)