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Estimating mixture of dirichlet process models

- S. MacEachern, P. Müller
- Mathematics
- 1998

Abstract Current Gibbs sampling schemes in mixture of Dirichlet process (MDP) models are restricted to using “conjugate” base measures that allow analytic evaluation of the transition probabilities… Expand

An ANOVA Model for Dependent Random Measures

- M. De Iorio, P. Müller, G. Rosner, S. MacEachern
- Mathematics
- 1 March 2004

We consider dependent nonparametric models for related random probability distributions. For example, the random distributions might be indexed by a categorical covariate indicating the treatment… Expand

Bayesian curve fitting using multivariate normal mixtures

- P. Müller, A. Erkanli, M. West
- Mathematics
- 1 March 1996

SUMMARY Problems of regression smoothing and curve fitting are addressed via predictive inference in a flexible class of mixture models. Multidimensional density estimation using Dirichlet mixture… Expand

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

- K. Do, P. Müller, M. Vannucci
- 2006

This chapter describes a clustering procedure for microarray expression data based on a well-defined statistical model, specifically, a conjugate Dirichlet process mixture model. The clustering… Expand

Bayesian Adaptive Methods for Clinical Trials

- S. Berry, B. Carlin, Jiun-Kae Jack Lee, P. Müller
- Computer Science
- 19 July 2010

Statistical Approaches for Clinical Trials Introduction Comparisons between Bayesian and frequentist approaches Adaptivity in clinical trials Features and use of the Bayesian adaptive approach Basics… Expand

A method for combining inference across related nonparametric Bayesian models

- P. Müller, F. Quintana, G. Rosner
- Mathematics
- 1 August 2004

We consider the problem of combining inference in related nonparametric Bayes models. Analogous to parametric hierarchical models, the hierarchical extension formalizes borrowing strength across the… Expand

DPpackage: Bayesian Semi- and Nonparametric Modeling in R

- A. Jara, T. Hanson, F. Quintana, P. Müller, G. Rosner
- Mathematics
- 7 April 2011

TLDR

Nonparametric Bayesian data analysis

- P. Müller, F. Quintana
- Mathematics, Engineering
- 1 February 2004

We review the current state of nonparametric Bayesian inference. The discussion follows a list of important statistical inference problems, including density estimation, regression, survival… Expand

FDR and Bayesian Multiple Comparisons Rules

- P. Müller, G. Parmigiani, K. Rice
- Computer Science
- 2006

TLDR

Simulation Based Optimal Design

- P. Müller
- Mathematics
- 2005

We review simulation based approaches to optimal design, with an emphasis on problems that cast optimal design as formal decision problems. Under this perspective we approach optimal design problems… Expand

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