Peter Müller, PhD
OFFLINE

Peter Müller, PhD

1520
Peter Müller, PhD
U. Texas at Austin, Dept. of Mathematics
512-471-7168
Professor

My undergraduate eduation is from Universität Wien and Technische Universität Wien, Austria. My Ph.D. is from Purdue Univseristy where I worked under Jim Berger on MCMC for constrained parameter problems. I spent several years at Institute of Statistics and Dec Sciences, (ISDS), Duke University, and at M.D. Anderson Biostatistics.

1. Lee, J., Quintana, F., Müller, P. and Trippa, L. (2013), ``Defining Predictive Probability Functions for Species Sampling Models,'' Statistical Science, to appear. tech report (pdf)

2. Mitra, R., Müller, P., Liang, S., Yue, L, and Ji, Y. (2013), ``A Bayesian Graphical Model for Chip-Seq Data on Histone Modifications,'' Journal of the American Statistical Association, to appear. tech report (pdf)

3. León-Novelo, L., Müller, 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. tech report (pdf)

4. Rossell, D. and Müller, P. (2013) ``Sequential sample sizes for high-throughput hypothesis testing experiments,'' Biostatistics, 14, 75-86. tech report (pdf)

5. Müller, P. (2013), ``Bayesian Models in Biostatistics and Medicine'', in Bayesian Theory and Applications, P. Damien, P. Dellaportas, N. Polson and D. Stephens (eds), p. 557-575, Oxford University Press.

6. Laud, P., Sivaganesan, S. and Müller, P. (2013), ``Subgroup Analysis," in P. Damien, P. Dellaportas, N. Polson and D. Stephens (eds), p. 576-592, Oxford University Press.

7. Mitra, R., Müller, P., Ji, Y. (2013), ``Bayesian Model-Based Approaches for Solexa Sequencing Data,'' in Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data, Do, K.A., Qin, Z. and Vannucci, M. (editors), Cambridge University Press (in press).

8. Jiang, F., Lee, J.J., and Müller, P. (2013) ``A Bayesian decision-theoretic sequential--response adaptive randomization design,'' Statistics in Medicine, to appear, DOI: 10.1002/sim.5735.

9. Alejandro Cruz-Marcelo, Gary L. Rosner, Peter Müller, Clinton F. Stewart (2013), ``Effect on Prediction when Modeling Covariates in Bayesian Nonparametric Models,'' Journal of Statistical Theory and Practice, to appear.

U54 Collaborators

Universidad de Puerto RicoThe University of Texas – MD Anderson Cancer CenterNational Cancer InstituteCenter for Reduce Cancer Health Disparities