P. Müller

发表

Estimating mixture of dirichlet process models

S. MacEachern, P. Müller, 1998 .

An ANOVA Model for Dependent Random Measures

S. MacEachern, P. Müller, M. De Iorio, 2004 .

A method for combining inference across related nonparametric Bayesian models

P. Müller, G. Rosner, F. Quintana, 2004 .

Bayesian Nonparametrics: An invitation to Bayesian nonparametrics

P. Müller, C. Holmes, N. Hjort, 2010 .

Bayesian Density Estimation and Inference Using Mixtures

S. MacEachern, P. Müller, 2007 .

Bayesian curve fitting using multivariate normal mixtures

P. Müller, M. West, A. Erkanli, 1996 .

A Bayesian mixture model for differential gene expression

P. Müller, K. Do, Fengjiao Tang, 2005 .

Optimal Bayesian Design by Inhomogeneous Markov Chain Simulation

P. Müller, M. De Iorio, B. Sansó, 2004 .

Bayesian Meta‐analysis for Longitudinal Data Models Using Multivariate Mixture Priors

P. Müller, H. Lopes, G. Rosner, 2003, Biometrics.

Bayesian Nonparametrics: Frontmatter

Christopher Holmes, Stephen G. Walker, Nils Lid Hjort, 2010 .

Bayesian inference for gene expression and proteomics

P. Müller, M. Vannucci, K. Do, 2006 .

10 Model-Based Clustering for Expression Data via a Dirichlet Process Mixture Model

P. Müller, M. Vannucci, K. Do, 2006 .

A nonparametric Bayesian model for inference in related longitudinal studies

S. MacEachern, P. Müller, G. Rosner, 2005 .

Optimal Sample Size for Multiple Testing

P. Müller, C. Robert, G. Parmigiani, 2004 .

A Bayesian discovery procedure

P. Müller, M. Guindani, Song Zhang, 2009, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Bayesian correlation estimation

Merrill W. Liechty, P. Müller, J. Liechty, 2004 .

Bayesian Graphical Models for Differential Pathways

P. Müller, R. Mitra, Yuan Ji, 2016 .

Semiparametric Bayesian Inference for Multilevel Repeated Measurement Data

P. Müller, F. Quintana, G. Rosner, 2007, Biometrics.

Hierarchical priors and mixture models, with applications in regression and density estimation

Michael A. West, Peter Müller, Michael Escobar, 2006 .

Nonparametric Bayesian Modeling for Multivariate Ordinal Data

P. Müller, A. Kottas, F. Quintana, 2005 .

Numerical Evaluation of Information- Theoretic Measures

P. Müller, G. Parmigiani, 1996 .

Bayesian Adaptive Methods for Clinical Trials

Bradley P. Carlin, Scott M. Berry, Jiun-Kae Jack Lee, 2010 .

Defining Predictive Probability Functions for Species Sampling Models.

P. Müller, F. Quintana, Jaeyong Lee, 2013, Statistical science : a review journal of the Institute of Mathematical Statistics.

Random Partition Models with Regression on Covariates.

P. Müller, F. Quintana, 2010, Journal of statistical planning and inference.

Basics of Bayesian inference

Bradley P. Carlin, Peter Müller, J. Jack Lee, 2010 .

Zodiac: A Comprehensive Depiction of Genetic Interactions in Cancer by Integrating TCGA Data.

Riten Mitra, Peter Müller, Yuan Ji, 2015, Journal of the National Cancer Institute.

DPpackage: Bayesian Semi- and Nonparametric Modeling in R

Peter Müller, Fernando A. Quintana, Timothy Hanson, 2011 .

Bayesian Nonparametric Estimation for Dynamic Treatment Regimes With Sequential Transition Times

Abdus S Wahed, Peter F Thall, Peter Müller, 2014, Journal of the American Statistical Association.

Subgroup finding via Bayesian additive regression trees

P. Müller, S. Sivaganesan, Bin Huang, 2017, Statistics in medicine.

A Bayesian subgroup analysis using collections of ANOVA models

P. Müller, P. Laud, S. Sivaganesan, 2017, Biometrical journal. Biometrische Zeitschrift.

A Bayesian subgroup analysis with a zero‐enriched Polya Urn scheme

Purushottam W. Laud, P. Müller, P. Laud, 2011, Statistics in medicine.

Determining the Effective Sample Size of a Parametric Prior

P. Müller, P. Thall, S. Morita, 2008, Biometrics.

Innovative trial design in precision oncology.

P. Müller, Yuan Ji, A. Tsimberidou, 2020, Seminars in cancer biology.

Subgroup inference for multiple treatments and multiple endpoints in an Alzheimer’s disease treatment trial

P. Müller, B. Carlin, P. Schnell, 2017 .

Bayesian Inference in Semiparametric Mixed Models for Longitudinal Data

P. Müller, Xihong Lin, Yisheng Li, 2010, Biometrics.

MAD Bayes for Tumor Heterogeneity—Feature Allocation With Exponential Family Sampling

P. Müller, Yuan Ji, Yanxun Xu, 2014, Journal of the American Statistical Association.

Bayesian inference for intratumour heterogeneity in mutations and copy number variation

P. Müller, Yuan Ji, K. Gulukota, 2016, Journal of the Royal Statistical Society. Series C, Applied statistics.

Simulation Based Optimal Design

P. Müller, 2005 .

Bayesian Forecasting of Multinomial Time Series through Conditionally Gaussian Dynamic Models

P. Müller, M. West, Claudia Cargnoni, 1997 .

Fitting and Validation of a Bivariate Model for Large Claims

P. Müller, H. Drees, 2008 .

Propriety Conditions for the Bayesian Autologistic Model—Inference for Histone Modifications

P. Müller, R. Mitra, Yuan Ji, 2013, Journal of statistical theory and practice.

A Time‐Series DDP for Functional Proteomics Profiles

Yuan Ji, Peter Müller, Yiling Lu, 2012, Biometrics.

Detecting T cell activation using a varying dimension Bayesian model

P. Müller, Zicheng Hu, J. N. Lancaster, 2018, Journal of applied statistics.

A Bayesian semiparametric approach for the differential analysis of sequence counts data

Peter Müller, Michele Guindani, Carlos Daniel Paulino, 2014, Journal of the Royal Statistical Society. Series C, Applied statistics.

Optimal sampling times in population pharmacokinetic studies

Peter Müller, Jonathan R. Stroud, Gary L. Rosner, 2001 .

Characterizing Cancer-Specific Networks by Integrating TCGA Data

P. Müller, R. Mitra, Yuan Ji, 2014, Cancer informatics.

RNDClone: Tumor subclone reconstruction based on integrating DNA and RNA sequence data

P. Müller, Yuan Ji, Subhajit Sengupta, 2020 .

A Bayesian random partition model for sequential refinement and coagulation

Yuan Ji, Peter Müller, Fernando A Quintana, 2019, Biometrics.

of Biostatistics

Yuan Ji, Peter Müller, Donatello Telesca, 2013 .

Assessing Toxicities in a Clinical Trial: Bayesian Inference for Ordinal Data Nested within Categories

P. Müller, L. León-Novelo, B. Bekele, 2010, Biometrics.

Nonparametric Bayesian Assessment of the Order of Dependence for Binary Sequences

P. Müller, F. Quintana, 2004 .

Bayesian Models for Non‐linear Autoregressions

Peter Müller, Steven N. MacEachern, Michael A. West, 1997 .

A Bayesian semiparametric model for case-control studies with errors in variables

Kathryn Roeder, Peter Müller, P. Müller, 1997 .

Exploring Expected Utility Surfaces by Markov Chains

Peter Müller, Giovanni Parmigiani, Merlise A. Clyde, 1996 .

Modeling Risk of Breast Cancer and Decisions about Genetic Testing

Donald A. Berry, Peter Müller, Giovanni Parmigiani, 1999 .

Effect on Prediction When Modeling Covariates in Bayesian Nonparametric Models

P. Müller, G. Rosner, C. Stewart, 2013, Journal of statistical theory and practice.

Bayesian Nonparametric Shrinkage Applied to Cepheid Star Oscillations.

P. Müller, J. Berger, W. Jefferys, 2012, Statistical science : a review journal of the Institute of Mathematical Statistics.

Rubbery Polya Tree

P. Müller, L. Nieto-Barajas, 2012, Scandinavian journal of statistics, theory and applications.

Bayesian Nonparametrics: Principles and Practice Introduction

P. Müller, C. Holmes, N. Hjort, 2018 .

Simulation-Based Methods for Optimal Sampling Times in Population PK / PD Studies

Jonathan R. Stroud, P. Müller, G. Rosner, 2007 .

CENTER-ADJUSTED INFERENCE FOR A NONPARAMETRIC BAYESIAN RANDOM EFFECT DISTRIBUTION.

Peter Müller, Xihong Lin, Yisheng Li, 2011, Statistica Sinica.

Simulation-based sequential Bayesian design

Donald A. Berry, Peter Müller, Michael Krams, 2007 .

Simulation Approach to One-Stage and Sequential Optimal Design Problems

Peter Müller, Giovanni Parmigiani, P. Müller, 1995 .

Book Reviews

Jane L. Harvill, P. Müller, B. Carlin, 2012 .

Pharmacokinetics in Clinical Oncology Statistical Issues

P. Müller, G. Rosner, S. Lunagomez, 2012 .

Bayesian Mixture Models for Assessment of Gene Differential Behaviour and Prediction of pCR through the Integration of Copy Number and Gene Expression Data

P. Müller, Y. Qi, L. Pusztai, 2013, PloS one.

Supplementary Issue: Array Platform Modeling and Analysis (b)

P. Müller, P. Qiu, C. Kendziorski, 2022 .

Simulation-Based Sequential Bayesian Design 1

P. Müller, D. Berry, A. Grieve, 2006 .

A DDP Model for Survival Regression

P. Müller, G. Rosner, W. Johnson, 2006 .

Modeling Dependencies in Large Claims

P. Müller, H. Drees, 2007 .

MODELING DEPENDENT GENE EXPRESSION BY DONATELLO TELESCA,

P. Müller, Freedman, Parmigiani, 2012 .

Accuracy of RNA-Seq and its dependence on sequencing depth

Hua Li, Yue Lu, Yuan Ji, 2012, BMC Bioinformatics.

Multiplicity-adjusted semiparametric benefiting subgroup identification in clinical trials

P. Müller, B. Carlin, P. Schnell, 2018, Clinical trials.

Phase III studies

P. Müller, B. Carlin, S. Berry, 2010 .

Modeling Disease Progression With Longitudinal Markers

Peter Müller, Lurdes Y T Inoue, Ruth Etzioni, 2008, Journal of the American Statistical Association.

Oncology clinical trials

P. Müller, T. Lai, G. Rosner, 2013 .

Applied Bayesian Modelling

P. Müller, 2005 .

Bayesian Nonparametric Biostatistics

P. Müller, R. Mitra, 2015 .

Estimating Latent Cell Subpopulations with Bayesian Feature Allocation Models

P. Müller, Yuan Ji, K. Gulukota, 2015 .

Some issues in nonparametric Bayesian modeling using species sampling models

Fernando A. Quintana, Peter Müller, Carlos Navarrete, 2008 .

Bayesian decision theoretic multiple comparison procedures: An application to phage display data

P. Müller, L. León-Novelo, K. Do, 2013, Biometrical journal. Biometrische Zeitschrift.

Bayesian nonparametric clustering for large data sets

P. Müller, Yuan Ji, Yitan Zhu, 2018, Statistics and computing.

Bayesian Inference in Political Science, Finance, and Marketing Research

P. Müller, Dongchu Sun, D. Dey, 2010 .

Clustering and Feature Allocation

Peter Müller, Timothy Hanson, Fernando Andrés Quintana, 2015 .

Density Estimation: DP Models

Peter Müller, Alejandro Jara, Timothy Hanson, 2015 .

Nonparametric Bayesian inference in applications

Fernando A. Quintana, Garritt L. Page, Peter Müller, 2017, Statistical Methods & Applications.

Discussion on “Predictively consistent prior effective sample sizes,” by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O'Hagan

P. Müller, G. Rosner, 2020, Biometrics.

Prior Effective Sample Size in Conditionally Independent Hierarchical Models.

Satoshi Morita, Peter F Thall, Peter Müller, 2012, Bayesian analysis.

2 Motivating examples 2 . 1 A Single-Arm Sarcoma Trial

P. Müller, P. Thall, S. Morita, 2012 .

Evaluating the Impact of Prior Assumptions in Bayesian Biostatistics

Satoshi Morita, Peter F Thall, Peter Müller, 2010, Statistics in biosciences.

Efficient MCMC Schemes for Robust Model Extensions Using Encompassing Dirichlet Process Mixture Models

Steven N. MacEachern, Peter Müller, S. MacEachern, 2000 .

Clustering and Prediction With Variable Dimension Covariates

Garritt L. Page, Fernando A. Quintana, Peter Muller, 2019, J. Comput. Graph. Stat..

Bayesian Nonparametric Biostatistics Bayesian Nonparametric Biostatistics

P. Müller, R. Mitra, 2015 .

Nonparametric Bayesian data analysis

Fernando A. Quintana, Peter Müller, P. Müller, 2004 .

Adaptive Bayesian Designs for Dose-Ranging Drug Trials

Michael D. Smith, Donald A. Berry, Michael Krams, 2002 .

Monte Carlo Methods and Bayesian Computation : MCMC

P. Müller, 2004 .

Semiparametric Bayesian classification with longitudinal markers

Peter Müller, Rolando De la Cruz-Mesía, Fernando A Quintana, 2007, Journal of the Royal Statistical Society. Series C, Applied statistics.

Clinical Trial Design as a Decision Problem.

Peter F Thall, Peter Müller, Yanxun Xu, 2017, Applied Stochastic Models in Business and Industry.

Bayesian Dose-Finding in Two Treatment Cycles Based on the Joint Utility of Efficacy and Toxicity

Peter F Thall, Peter Müller, Yuan Ji, 2015, Journal of the American Statistical Association.

A Bayesian decision‐theoretic sequential response‐adaptive randomization design

Fei Jiang, Peter Müller, J Jack Lee, 2013, Statistics in medicine.

Borrowing Strength with Nonexchangeable Priors over Subpopulations

P Müller, L G Leon-Novelo, B Nebiyou Bekele, 2012, Biometrics.

Bayesian Computational Methods in Biomedical Research

Nalini Ravishanker, Peter Müller, Hedibert F. Lopes, 2008 .

Screening designs for drug development.

Peter Müller, David Rossell, Gary L Rosner, 2007, Biostatistics.

Optimal Design: Simulation Approaches

P. Müller, 2004 .

Bayesian Population Pharmacokinetic and Pharmacodynamic Analyses Using Mixture Models

Peter Müller, Gary L. Rosner, P. Müller, 1997, Journal of Pharmacokinetics and Biopharmaceutics.

Bayesian Nonparametrics: List of contributors

Christopher Holmes, Stephen G. Walker, Nils Lid Hjort, 2010 .

BayClone: Bayesian Nonparametric Inference of Tumor Subclones Using NGS Data

Yuan Ji, Arunava Banerjee, Juhee Lee, 2014, Pacific Symposium on Biocomputing.

Phase I studies

P. Müller, B. Carlin, S. Berry, 2010 .

Nonparametric Bayesian Bi-Clustering for Next Generation Sequencing Count Data.

Riten Mitra, Peter Müller, Yuan Ji, 2013, Bayesian analysis.

BM-BC: a Bayesian method of base calling for Solexa sequence data

Yue Lu, Yuan Ji, Ping Liu, 2012, BMC Bioinformatics.

MODELING DEPENDENT GENE EXPRESSION.

Peter Müller, Giovanni Parmigiani, Donatello Telesca, 2012, Annals of statistics.

Toward Breaking the Histone Code: Bayesian Graphical Models for Histone Modifications

Yuan Ji, Riten Mitra, Peter Müller, 2013, Circulation. Cardiovascular genetics.

FDR and Bayesian Multiple Comparisons Rules

Kenneth Rice, Giovanni Parmigiani, Peter Müller, 2006 .

A Bayesian graphical model for integrative analysis of TCGA data

Yuan Ji, Jie Zhang, Riten Mitra, 2012, Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Hierarchical Bayesian Models for ChIP-seq Data

Riten Mitra, Peter Müller, P. Müller, 2014 .

Approximatereference priors in the presence of latent structures

P. Müller, Dongchu Sun, D. Dey, 2010 .

INCORPORATING MULTIPLE SOURCES OF STOCHASTICITY INTO DYNAMIC POPULATION MODELS

Peter Müller, Michael Lavine, Catherine A. Calder, 2003 .

Population Models for Hematologic Data

P. Müller, J. Palmer, 1999 .

Frontiers of statistical decision making and Bayesian analysis : in honor of James O. Berger

Dipak K. Dey, Ming-Hui Chen, Keying Ye, 2010 .

Optimal Design via Curve Fitting of Monte Carlo Experiments

Peter Müller, Giovanni Parmigiani, P. Müller, 1995 .

Appendix to “ Bayesian inference in semiparametric mixed models for longitudinal data ” by

P. Müller, Xihong Lin, Yisheng Li, 2008 .

A Bayesian nonparametric approach for evaluating the causal effect of treatment in randomized trials with semi-competing risks.

Peter Müller, Yanxun Xu, Daniel Scharfstein, 2019, Biostatistics.

Bayesian population finding with biomarkers in a randomized clinical trial

Satoshi Morita, Peter Müller, P. Müller, 2017, Biometrics.