Markov chain Monte Carlo methods for decision analysis. - Concha Bielza; Peter Müller 003; David Ríos Insua (AISTATS, 1997)

Issues in Bayesian Analysis of Neural Network Models. - Peter Müller 003; David Ríos Insua (Neural Comput., 1998)

Bayesian Analysis of Nonlinear Autoregression Models Based on Neural Networks. - A. Menchero; Raquel Montes Diez; David Ríos Insua; Peter Müller 003 (Neural Comput., 2005)

A Bayesian Decision-Theoretic Dose-Finding Trial. - Peter Müller 003; Don A. Berry; Andrew P. Grieve; Michael Krams (Decis. Anal., 2006)

Bayesian robustness for decision making problems: Applications in medical contexts. - Jacinto Martín; C. J. Pérez 001; Peter Müller 003 (Int. J. Approx. Reason., 2009)

Discussion of "Sampling schemes for generalized DP random effects models". - Peter Müller 003 (Stat. Methods Appl., 2011)

Sparse Bayesian graphical models for RPPA time course data. - Riten Mitra; Peter Müller 003; Yuan Ji; Gordon B. Mills; Yiling Lu (GENSiPS, 2012)

A Bayesian graphical model for integrative analysis of TCGA data. - Yanxun Xu; Jie Zhang 053; Yuan Yuan 003; Riten Mitra; Peter Müller 003; Yuan Ji (GENSiPS, 2012)

Accuracy of RNA-Seq and its dependence on sequencing depth. - Guoshuai Cai; Hua Li; Yue Lu; Xuelin Huang; Juhee Lee; Peter Müller 003; Yuan Ji; Shoudan Liang (BMC Bioinform., 2012)

BM-BC: a Bayesian method of base calling for Solexa sequence data. - Yuan Ji; Riten Mitra; Fernando Quintana; Alejandro Jara; Peter Müller 003; Ping Liu; Yue Lu; Shoudan Liang (BMC Bioinform., 2012)

BayClone: Bayesian Nonparametric Inference of Tumor Subclones Using NGS Data. - Subhajit Sengupta; Jing Wang 006; Juhee Lee; Peter Müller 003; Kamalakar Gulukota; Arunava Banerjee; Yuan Ji (Pacific Symposium on Biocomputing, 2015)

Introduction to "On a class of σ-stable Poisson-Kingman models and an effective marginalized sampler" by S. Favaro, M. Lomeli, Y. W. Teh. - Peter Müller 003 (Stat. Comput., 2015)

A Bayesian Nonparametric Model for Reconstructing Tumor Subclones Based on Mutation Pairs. - Subhajit Sengupta; Tianjian Zhou; Peter Müller 003; Yuan Ji (PSB, 2016)

Bayesian graphical models for computational network biology. - Yang Ni; Peter Müller 003; Lin Wei; Yuan Ji (BMC Bioinform., 2018)

Nonparametric Bayesian inference in applications. - Peter Müller 003; Fernando A. Quintana; Garritt L. Page (Stat. Methods Appl., 2018)

Bayesian nonparametric clustering for large data sets. - Daiane Aparecida Zuanetti; Peter Müller 003; Yitan Zhu; Shengjie Yang; Yuan Ji (Stat. Comput., 2019)

Clustering and Prediction With Variable Dimension Covariates. - Garritt L. Page; Fernando A. Quintana; Peter Müller 003 (J. Comput. Graph. Stat., 2022)