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Peter Mueller, Ph.D.

Present Title & Affiliation

Primary Appointment

Robert R. Herring Distinguished Professor in Clinical Research, Department of Biostatistics, Division of Quantitative Sciences, The University of Texas M. D. Anderson Cancer Center, Houston, TX
Professor, Department of Biostatistics, Division of Quantitative Sciences, The University of Texas M D Anderson Cancer Center, Houston, TX

Dual/Joint/Adjunct Appointment

Adjunct Professor, Department of Statistics, Rice University, Houston, TX
Member, Graduate School of Biomedical Sciences, Houston, TX

Research Interests

  • Numerical integration in Bayesian statistics
  • Markov chain Monte Carlo methods
  • Simulation-based optimal design
  • Dynamic models
  • Nonparametric Bayes
  • Mixture of Dirichlet process models
  • Neural network models
  • Modeling
  • Longitudinal data models
  • Pharmacokinetic/pharmacodynamic models
  • Case-control studies
  • Hierarchical models

Office Address

The University of Texas M. D. Anderson Cancer Center
1400 Pressler Street
Unit Number: 1411
Houston, TX 77030
Room Number: FCT4.5080
Phone: (713) 563-4296
Fax: (713) 563-4242/3

Education & Training

Degree-Granting Education

1991 Purdue University, West Lafayette, IN, PHD, Statistics
1988 Vienna University of Technology, Vienna, Austria, MS, Computer Science and Business
1985 University of Vienna, Vienna, Austria, MS, Mathematics and Physics Education

Selected Publications

Peer-Reviewed Original Research Articles
1. Guindani M, Zhang S, Mueller P. A Bayesian Discovery Procedure. Journal of the Royal Statistcal Society, Series B. In Press.
2. Zhang S, Mueller P, and Do K A. A Bayesian Semiparametric Method for Jointly Modeling a Primary Endpoint and Longitudinal Measurements. Biometrics. In Press.
3. Ding M, Rosner GL, Müller P. Bayesian Optimal Design for Phase II Screening Trials. Biometrics. In Press. PMID: Not in Pub Med.
4. Mueller P and Quintana F. Random Partition Models with Regression on Covariates. Journal of Statistical Inference and Planning. In Press.
5. Liechty MW, Liechty JC, and Mueller P. The Shadow Prior. Journal of Computational and Graphical Statistics. In Press.
6. Liu S, Umezu-Goto M, Murph M, Lu Y, Liu W, Zhang F, Yu S, Stephens LC, Cui X, Murrow G, Coombes K, Muller W, Hung MC, Perou CM, Lee AV, Fang X, Mills GB. Expression of autotaxin and lysophosphatidic acid receptors increases mammary tumorigenesis, invasion, and metastases. Cancer Cell 15(6):539-50, 6/2/2009. PMID: 19477432.
7. Li Y, Lin X, Müller P. Bayesian Inference in Semiparametric Mixed Models for Longitudinal Data. Biometrics. e-Pub 5/7/2009. PMID: 19432777.
8. Kantarjian H, Cortes J, Kim DW, Dorlhiac-Llacer P, Pasquini R, DiPersio J, Müller MC, Radich JP, Khoury HJ, Khoroshko N, Bradley-Garelik MB, Zhu C, Tallman MS. Phase 3 study of dasatinib 140 mg once daily versus 70 mg twice daily in patients with chronic myeloid leukemia in accelerated phase resistant or intolerant to imatinib: 15-month median follow-up. Blood 113(25). e-Pub 4/15/2009. PMID: 19369231.
9. De Iorio M, Johnson WO, Müller P, Rosner GL. Bayesian Nonparametric Nonproportional Hazards Survival Modeling. Biometrics. e-Pub 2/2009. PMID: 19210742.
10. Merritt WM, Lin YG, Han LY, Kamat AA, Spannuth WA, Schmandt R, Urbauer D, Pennacchio LA, Cheng JF, Nick AM, Deavers MT, Mourad-Zeidan A, Wang H, Mueller P, Lenburg ME, Gray JW, Mok S, Birrer MJ, Lopez-Berestein G, Coleman RL, Bar-Eli M, Sood AK. Dicer, Drosha, and outcomes in patients with ovarian cancer. N Engl J Med 359(25):2641-50, 12/18/2008. PMID: 19092150.
11. Han LY, Fletcher MS, Urbauer DL, Mueller P, Landen CN, Kamat AA, Lin YG, Merritt WM, Spannuth WA, Deavers MT, De Geest K, Gershenson DM, Lutgendorf SK, Ferrone S, Sood AK. HLA class I antigen processing machinery component expression and intratumoral T-Cell infiltrate as independent prognostic markers in ovarian carcinoma. Clin Cancer Res 14(11):3372-9, 6/2008. PMID: 18519766.
12. Quintana F, Mueller P, Rosner G, Relling MV. A Semiparametric Bayesian Model for Repeated Binary Outcomes. Applied Statistics 57:419-431, 2008. PMID: Not in Pub Med.
13. Inoue L, Etzioni R, Morrell C, Mueller P. Modeling Disease Progression with Longitudinal Markers. Journal of the American Statistical Association 103:259-270, 2008. PMID: Not in Pub Med.
14. Polson N, Stroud J, Mueller P. Practical Filtering with Sequential Parameter Learning. Journal of the Royal Statistical Society, Series B (Methodological) 70:413-428, 2008. PMID: Not in Pub Med.
15. Quintana F, Mueller P, Rosner G, Munsell M. Semiparametric Bayesian Inference for Multi-Season Baseball Data. Bayesian Analysis 3:317-338, 2008. PMID: Not in Pub Med.
16. Navarrete C, Quintana FA, Mueller P. Some Issues on Nonparametric Bayesian Modeling using Species Sampling Models. Statistical Modelling: An International Journal 8:3-21, 2008. PMID: Not in Pub Med.
17. Morita S, Thall PF, Müller P. Determining the effective sample size of a parametric prior. Biometrics 64(2). e-Pub 8/2007. PMID: 17764481.
18. Rossell D, Müller P, Rosner GL. Screening Designs for Drug Development. Biostatistics 8(3):595-608, 7/2007. PMID: 17030589.
19. De La Cruz-Mesia, Quintana F, Müller P. Semiparametric Bayesian Classification with Longitudinal Markers. Journal of the Royal Statistical Society: Series C (Applied Statistics) 56(2):119-137, 3/2007. PMID: Not in Pub Med.
20. Müller P, Quintana FA, Rosner GL. Semiparametric bayesian inference for multilevel repeated measurement data. Biometrics 63(1):280-289, 3/2007. PMID: 17447954.
21. Zhang S, Shih YC, Mueller P. A Spatially-adjusted Bayesian Additive Regression Tree Model to Merge Two Datasets. Bayesian Analysis 2(1):1-23, 2007. PMID: Not in Pub Med.
22. Swartz MD, Kimmel M, Mueller P, Amos CI. Stochastic search gene suggestion: a Bayesian hierarchical model for gene mapping. Biometrics 62(2):495-503, 6/2006. PMID: 16918914.
23. Kamat AA, Fletcher M, Gruman LM, Mueller P, Lopez A, Landen CN, Han L, Gershenson DM, Sood AK. The Clinical Relevance of Stromal Matrix Metalloproteinase Expression in Ovarian Cancer. Clin Cancer Res 12(6):1707-1714, 3/2006. PMID: 16551853.
24. Han LY, Landen CN, Kamat AA, Lopez A, Bender DP, Mueller P, Schmandt R, Gershenson DM, Sood AK. Preoperative serum tissue factor levels are an independent prognostic factor in patients with ovarian carcinoma. J Clin Oncol 24(5):755-61, 2/2006. PMID: 16380413.
25. Müller P, Berry DA, Grieve AP, Krams M. A Bayesian Decision-Theoretic Dose-Finding Trial. Decision Analysis 3(4):197-207, 2006. PMID: Not in Pub Med.
26. Wang X, Deavers M, Patenia R, Bassett RL, Jr, Mueller P, Ma Q, Wang E, Freedman RS. Monocyte/macrophage and T-cell infiltrates in peritoneum of patients with ovarian cancer or benign pelvic disease. J Transl Med 4:30, 2006. PMID: 16824216.
27. Mueller P, Berry D, Grieve A, Smith M and Krams M. Simulation-Based Sequential Bayesian Design. Journal of Statistical Planning and Inference 137:3140-3150, 2006. PMID: Not in Pub Med.
28. Mueller P, Rosner GL, De Iorio M, MacEachern S. A nonparametric Bayesian model for inference in related longitudinal studies. Journal of the Royal Statistical Society: Series C (Applied Statistics) 54(3):611-626, 6/2005. PMID: Not in Pub Med.
29. Menchero A, Montes Diez R, Rios Insua D, Mueller P. Bayesian analysis of non-linear autoregression models based on neural networks. Neural Computation 17(2):453-485, 2/2005. PMID: Not in Pub Med.
30. Wang E, Ngalame Y, Panelli MC, Nguyen-Jackson H, Deavers M, Mueller P, Hu W, Savary CA, Kobayashi R, Freedman RS, Marincola FM. Peritoneal and subperitoneal stroma may facilitate regional spread of ovarian cancer. Clin Cancer Res 11(1):113-22, 1/2005. PMID: 15671535.
31. Do K-A, Mueller P, Tang F. A Bayesian Mixture Model for Differential Gene Expression. Applied Statistics 54:627-644, 2005. PMID: Not in Pub Med.
32. Müller P, Parmigiani G, Robert C, Rousseau J. Optimal Sample Size for Multiple Testing: the Case of Gene Expression Microarrays. Journal of American Statistical Association 99:990-1001, 12/2004. PMID: Not in Pub Med.
33. Müller P, Sanso B, De Iorio M. Optimal Bayesian Design by Inhomogeneous Markov Chain Simulation. Journal of American Statistical Association 99(467):788-798, 9/2004. PMID: Not in Pub Med.
34. Liechty J, Liechty M, Müller P. Bayesian Correlation Estimation. Biometrika 91(1):1-14, 3/2004. PMID: Not in Pub Med.
35. Quintana FA, Muller P. Optimal Sampling for Repeated Binary Measurements. Canadian Journal of Statistics 32(1):73-84, 3/2004. PMID: Not in Pub Med.
36. Müller P, Quintana F. Nonparametric Bayesian Data Analysis. Statistical Science 19(1):95-110, 2/2004. PMID: Not in Pub Med.
37. Christen JA, Müller P, Wathen K, Wolf, J. A Bayesian Randomized Clinical Trial: A Decision Theoretic Sequential Design. Canadian Journal of Statistics 32:387-402, 2004. PMID: Not in Pub Med.
38. De Iorio M, Müller P, Rosner Gl, MacEachern S. An ANOVA Model for Dependent Random Measures. Journal of American Statistical Association 99(465):205-215, 2004. PMID: Not in Pub Med.
39. Müller P, Quintana F, Rosner GL. Hierarchical Meta-Analysis over Related Non-parametric Bayesian Models. Journal of the Royal Statistical Society Series B (Statistical Methodology) 66:735-749, 2004. PMID: Not in Pub Med.
40. Quintana F, Müller P. Nonparametric Bayesian Assessment of the Order of Dependence for Binary Sequences. Journal of Computational and Graphical Statistics 13:213-231, 2004. PMID: Not in Pub Med.
41. Kottas A, Mueller P, Quintana F. Nonparametric Bayesian modeling for multivariate ordinal data. Journal of Computational and Graphical Statistics 13:213-231, 2004. PMID: Not in Pub Med.
42. Calder C, Lavine M, Müller P, Clark J. Incorporating Multiple Sources of Stochasticity into Dynamic Population Models. Ecology 84(6):1395-1402, 6/2003. PMID: Not in Pub Med.
43. Lopes HF, Müller P, Rosner GL. Bayesian meta-analysis for longitudinal data models using multivariate mixture priors. Biometrics 59(1):66-75, 3/2003. PMID: 12762442.
44. Barnes TG, Jefferys WH, Berger JO, Müller P, Orr K, Rodriquez R. A Bayesian Analysis of the Cepheid Distance Scale. Atrophysics Journal 592:539-554, 2003. PMID: Not in Pub Med.
45. Thall PF, Millikan RE, Mueller P, Lee SJ. Dose-Finding with two agents in Phase I Oncology trials. Biometrics 59(3):487-496, 2003. PMID: 14601749.
46. Stroud J, Müller P, Polson N. Nonlinear State-Space Models with State-Dependent Variance Functions. Journal of the American Statistical Association 98(462):377-386, 2003. PMID: Not in Pub Med.
47. Müller P, Rosner GL, Inoue L, Dewhirst MW. A Bayesian Model for Detecting Acute Change in Nonlinear Profiles. Journal of the American Statistical Association 96(456):1215-1222, 12/2001. PMID: Not in Pub Med.
48. Berry DA, Müller P, Grieve AP, Smith M, Parke T, Blazek R, Mitchard N, Krams M. Adaptive Bayesian Designs for Dose-Ranging Drug Trials. Case Studies in Bayesian Statistics V:99-181, 2001. PMID: Not in Pub Med.
49. Stroud J, Müller P, Sanso B. Dynamic Models for Spatiotemporal Data. Journal of the Royal Statistical Society, Series B 63:673-689, 2001. PMID: Not in Pub Med.
50. Stroud J, Müller P, Rosner GL. Optimal Sampling Times in Population Pharmacokinetic Studies. Applied Statistics 50(3):345-359, 2001. PMID: Not in Pub Med.
51. Müller P, Vidakovic B. Bayesian Inference with Wavelets: Density Estimation. Journal of Computational and Graphical Statistics 7(4):456-468, 12/1999. PMID: Not in Pub Med.
52. Müller P, Parmigiani G, Schildkraut J, Tardella L. A Bayesian hierarchical approach for combining case-control and prospective studies. Biometrics 55(3):858-66, 9/1999. PMID: 11315018.
53. Bielza C, Müller P, Rios Insua D. Monte Carlo Methods for Decision Analysis with Applications to Influence Diagrams. Management Science 45(7):995-1007, 7/1999. PMID: Not in Pub Med.
54. Damien P, Muller P. A Bayesian Bivariate Failure Time Regression Model. Computational Statistics and Data Analysis 28(1):77-85, 7/1998. PMID: Not in Pub Med.
55. Palmer JL, Muller P. Bayesian Optimal Design in Population Models for Haematologic Data. Stat Med 17(14):1613-22, 7/1998. PMID: 9699233.
56. MacEachern SN, Müller P. Estimating Mixture of Dirichlet Process Models. Journal of Computational and Graphical Statistics 7:223-239, 6/1998. PMID: Not in Pub Med.
57. Muller P, Insua DR. Issues in Bayesian Analysis of Neural Network Models. Neural Computation 10(3):571-592, 4/1998. PMID: Not in Pub Med.
58. Müller P, Pole A. Monte Carlo Posterior Integration in GARCH Models. Sankhya, Series B 60:127-144, 1998. PMID: Not in Pub Med.
59. Müller P, Rosner GL. A Bayesian Population Model With Hierarchical Mixture Priors Applied to Blood Count Data. Journal of the American Statistical Association 92:1279-1292, 12/1997. PMID: Not in Pub Med.
60. Müller P, Roeder K. A Bayesian Semiparametric Model for Case-Control Studies with Errors in Variables. Biometrika 84(3):523-537, 9/1997. PMID: Not in Pub Med.
61. Cargnoni C, Müller P, West M. Bayesian Forecasting of Multinomial Time Series Through Conditionally Gaussian Dynamic Models. Journal of the American Statistical Association 92:640-647, 6/1997. PMID: Not in Pub Med.
62. Rosner GL, Müller P. Bayesian population pharmacokinetic and pharmacodynamic analyses using mixture models. J Pharmacokinet Biopharm 25(2):209-33, 4/1997. PMID: 9408860.
63. Müller P, West M, MacEachern S. Bayesian Models for Non-linear Autoregressions. Journal for Time Series Analysis 18(6):593-614, 1997. PMID: Not in Pub Med.
64. Terborgh J, Cesar Flores N, Müller P, Davenport L. Estimating the ages of successional stands of tropical trees from growth increments. Journal of Tropical Ecology 14:833-856, 1997. PMID: Not in Pub Med.
65. Müller P, Erkanli A, West M. Bayesian Curve Fitting Using Multivariate Normal Mixtures. Biometrika 83(1):67-79, 3/1996. PMID: Not in Pub Med.
66. Müller P, Parmigiani G. Optimal Design via Curve Fitting of Monte Carlo Experiments. Journal of the American Statistical Association 90(432):1322-1330, 12/1995. PMID: Not in Pub Med.
67. Rosner GL, Müller P. Pharmacodynamic analysis of hematologic profiles. J Pharmacokinet Biopharm 22(6):499-524, 12/1994. PMID: 7473079.
Other Articles
1. Mueller P, Nieto Barajas LE. Discussion of The Nested Dirichlet Process by Rodriguez, Dunson and Gelfand, 2008.
2. National Research Council Committee on Human Health Risks of Trichloroethylene. Assessing Human Health Risks of Trichloroethylene: Key Scientific Issues. National Academies Press, 2006.
3. Müller P, Rosner GL. Semi-Parametric Bayesian Models for Population Pharmacokinetics and Pharmacodynamics. Bayesian Statistics and Its Applications, 2006.
4. Mueller P. Discussion of TS Shively, R Kohn, S Wood: Variable Selection and Function Estimation in Additive Nonparametric Regression Using a Data-Based Prior. Journal of the American Statistical Association, 1999.
5. Mueller P. Discussion of Diggle P. and Al Wasel I., Spectral Analysis of Replicated Biomedical Time Series. Journal of the Royal Statistical Society, Series B, 1997.
6. Müller P. Discussion of Dupuis J.A. and Robert C., Bayesian variable selection in qualitative models. Proceedings of the Workshop on Model Selection, Universita di Cagliari, Cagliari, 1997.
7. Müller P. Discussion of Polson, N. G., Convergence of Markov Chain Monte Carlo Algorithms. Bayesian Statistics 5:297-322, 1996.
8. Clyde M, Müller P, Parmigiani G. Exploring Expected Utility Surfaces by Markov Chains. Discussion paper 95-39, 1995.
9. Erkanli A, Stangl DK, Müller P. A Bayesian analysis of ordinal data using mixtures. ASA Proceedings of the Section on Bayesian Statistical Science:51-56, 1993.
10. Müller P. Posterior integration in dynamic models. Computing Science and Statistics 24:318-324, 1992.
11. Müller P. A generic approach to posterior integration and Bayesian sampling. Technical Report 91-09, Statistics Department, Purdue University, 1991.
12. Mueller P. Monte Carlo integration in general dynamic models. Contemporary Mathematics 115:145-164, 1991.
13. Müller P. Numerical integration in general dynamic models, 1991.
14. Müller P. Optimal mix of accept/reject and importance sampling. Technical Report, Stochastic Modeling and Simulation Series 89-12, Department of Industrial Engineering, Purdue University, 1989.

Book Chapters
1. Mueller P and Quintana F. More Nonparametric Bayesian Models for Biostatistics. In: Bayesian Nonparametrics. Ed(s) Hjort N, Holmes C, Mueller P and Walker S. Cambridge University Press, 2008.
2. Lopes HF, Ravishanker N, Mueller P. Bayesian Computational Methods in Biomedical Research. In: Computational Methods in Biomedical Research. Ed(s) R. Khattree and D. N. Naik. Marcel Dekker/Francis & Taylor, 2007.
3. Mueller P, Parmigiani G, Rice K. FDR and Bayesian Multiple Comparisons Rules. In: Bayesian Statistics 8. Ed(s) JM Bernardo, S Bayarri, JO Berger, AP Dawid, D Heckerman, AFM Smith, M West. Oxford University Press, 2007.
4. Guindani M, Do K-A, Müller P, Morris J. Bayesian mixture models for gene expression and protein profiles. In: Bayesian Inference for Gene Expression and Proteomics. Cambridge University Press, 238-253, 2006.
5. Parke T, Krams M, Mueller P and Berry D. Efficient Dose-Response Finding Strategies for Acute Neuroemergency Treatments. In: Handbook of Neuroemmergency Clinical Trials. Chapter 9. Ed(s) WM Alves, BE Skolnick. Elsevier: San Diego, 2006.
6. Mueller P, Robert C, Rousseau J. Sample Size Choice for Microarray Experiments. In: Bayesian Inference for Gene Expression and Proteomics. Ed(s) Do K.A, Mueller P, Vanucci M, 2006.
7. Rosner GL, Müller P, Lunagomez S, Thompson P. Pharmacokinetics in Clinical Oncology: Statistical Issues. In: Handbook of Statistics in Oncology. CRC Press, 2005.
8. Rosner G, Mueller P, Lunagomez S and Thompson P. Pharmacokinetics in Clinical Oncology: Statistical Issues. In: Handbook of Statistics in Oncology, Second Edition, Revised and Expanded. Ed(s) Crowley J. CRC Press, 2005.
9. Rosner GL, Müller P, Tang F, Madden T, Andersson B. Dose Individualization for High-Dose Anti-Cancer Chemotherapy. In: In Advanced Methods of Pharmacokinetics and Pharmacodynamic Systems Analysis, Volume III. Kluwer Academic Publishers, 239-253, 2004.
10. Mueller P. Optimal Design: Simulation Approaches. In: Handbook of Statistics, 2004.
11. Polson N, Stroud J, Müller P. Practical Filtering for Stochastic Volatility Models. In: State Space and Unobserved Component Models. Cambridge University press, 236-247, 2004.
12. De Iorio M, Müller P, Rosner GL, McEachern SN. ANOVA DDP models: A review. In: Nonlinear Estimation and Classification. Springer-Verlag, 467, 2002.
13. Müller P. Monte Carlo Methods and Bayesian Computation: MCMC. In: International Encyclopedia of the Social and Behavioral Sciences, 9236-9240, 2001.
14. MacEachern S, Müller P. Efficient MCMC Schemes for Robust Model Extensions using Encompassing Dirichelt Process Mixture Models. In: Robust Bayesian Analysis. Springer-Verlag, 2000.
15. Malec D, Mueller P. A Bayesian Semi-Parametric Model for Small Area Estimation. In: Festschrift in Honor of JK Ghosh. Ed(s) S Ghoshal, B Clarke. IMS, 1999.
16. Vidakovic B, Müller P. An Introduction to Wavelets. In: Bayesian Inference in Wavelet-Based Models. Springer-Verlag, 1-18, 1999.
17. Müller P, Vidakovic B. MCMC Methods in Wavelet Shrinkage: Non-Equally Spaced Regression, Density and Spectral Density Estimation. In: Bayesian Inference in Wavelet-Based Models. Springer-Verlag,, 187-202, 1999.
18. Parmigiani G, Berry D, Iversen E, Müller P, Schildkraut J and Winer EP. Modeling Risk of breast cancer and decisions about genetic testing. In: Case Studies in Bayesian Statistics IV. Springer-Verlag, 133-204, 1999.
19. Palmer JL and Müller P. Population Models for Hematologic Data. In: Case Studies in Bayesian Statistics IV. Springer-Verlag, 355-366, 1999.
20. Sanso B, Müller P. Redesigning a Network of Rainfall Stations. In: Case Studies in Bayesian Statistics IV, 383-394, 1999.
21. Müller P. Simulation Based Optimal Design. In: Bayesian Statistics 6. Oxford University Press, 459-474, 1999.
22. Rios Insua D, Müller P. Feedforward neural networks for nonparametric regression. In: Practical Nonparametric and Semiparametric Bayesian Statistics. Springer-Verlag, 181-194, 1998.
23. Müller P, Palmer JL. Optimal Design in Longitudinal Data Models. In: Applied Decision Analysis. Kluwer, 123-131, 1998.
24. Müller P, Rosner GL. Semi-parametric PK/PD Models. In: Practical Nonparametric and Semiparametric Bayesian Statistics. Springer-Verlag, 323-338, 1998.
25. Rios Insua D, Salewicz A, Müller P, Bielza C. Bayesian methods in reservoir operations: the Zambezi river case. In: The Practice of Bayesian Analysis. Wiley, 107-130, 1997.
26. Clyde M, Müller P, Parmigiani G. Inference and Design Strategies for a Hierarchical Logistic Regression Model. In: Bayesian Biostatistics. Marcel Deckker, 297-320, 1996.
27. Müller P, Parmigiani G. Numerical evaluation of information theoretic measures. In: Bayesian Statistics and Econometrics. Wiley, 397-406, 1996.
28. Müller P, Rios Insua D. Posterior simulation for feed forward neural network models. In: COMPSTAT, Proceedings in Computational Statistics. Physica-Verlag, 385-390, 1996.
29. Rosner GL, Müller P. Modeling multiple pharmacodynamic endpoints. In: Advanced Methods of Pharmacokinetic and Pharmacodynamic Systems Analysis. 2. Plenum Press, 45-60, 1995.
30. Clyde M, Müller P, Parmigiani G. Optimal Design for Heart Defibrillators. In: Case Studies in Bayesian Statistics, II, 278-292, 1995.
31. Polasek W, Müller P. Gibbs Sampling for ARCH models in finance. In: MODA 4 - Advances in Model-Oriented Data Analysis. Physica-Verlag, 251-260, 1994.
32. West M, Müller P, Escobar MD. Hierarchical priors and mixture models, with application in regression and density estimation. In: Aspects of Uncertainty. Wiley, 363-386, 1994.
33. Parmigiani G, Müller P. Simulation Approach to One-Stage and Sequential Optimal Design Problems. In: Simulation Approach to One-Stage and Sequential Optimal Design Problems. Physica-Verlag, 37-48, 1994.

Books (edited and written)
1. Do K-A, Vannucci M, Mueller P. (eds.). Bayesian Inference for Gene Expression and Proteomics. Cambridge University Press, 2006.
2. Mueller P and Vidakovic B. Ed(s) Mueller P and Vidakovic B. Bayesian Inference for Gene Expression and Proteomics. Springer-Verlag: New York, 1999.
3. Dey D, Mueller P and Sinha D. Ed(s) Dey D, Mueller P and Sinha D. Practicial Nonparametric and Semiparametric Bayesian Statistics. Springer-Verlag: New York, 1998.

Last updated: 9/25/2009