Peter Müller
Statistics and Probability · with Quintana · 2004–2010
A researcher in the Science corpus: 7 papers; trusts 10 researchers and is trusted by 52 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 21 citations into it; #818 of 12,932 by trust here, #1,432 by citations
- Artificial Intelligence — 14 citations into it; #3,086 of 35,345 by trust here, #7,858 by citations
Whom Peter Müller trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- S. MacEachern
- Hemant Ishwaran
- James O. Berger
- Matthew West
- Paolo Giudici
- Lancelot F. James
- Sanjib Basu
- Peter J. Green
- Siddhartha Chib
- Athanasios Kottas
Who trusts Peter Müller overall
- David B. Dunson
- Sotirios P. Chatzis
- Jim E. Griffin
- Antonio Lijoi
- Ya Xue
- Kenji Fukumizu
- Athanasios Kottas
- Matt Taddy
- Yee Whye Teh
- Lawrence Carin
Papers from Peter Müller's perspective
Ordered by how strongly the researchers Peter Müller trusts endorse each paper. Same corpus, a different order for every researcher.
- Bayesian Density Estimation and Inference Using Mixtures
- Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems
- Estimating normal means with a conjugate style dirichlet process prior
- Gibbs Sampling Methods for Stick-Breaking Priors
- Bayesian analysis of binary and polychotomous response data
- Modelling Heterogeneity With and Without the Dirichlet Process
- Marginal Likelihood and Bayes Factors for Dirichlet Process Mixture Models
- Nonparametric Bayesian Modeling for Multivariate Ordinal Data
- Ockham's Razor and Bayesian Analysis
- A Bayesian analysis of the multinomial probit model with fully identified parameters
Their papers
- Bayesian Nonparametrics: An invitation to Bayesian nonparametrics (2010) — 60 citations
- An ANOVA Model for Dependent Random Measures (2004) — 378 citations
- © Institute of Mathematical Statistics, 2004 Nonparametric Bayesian Data Analysis — 464 citations
- A method for combining inference across related nonparametric Bayesian models (2004) — 194 citations
- Nonparametric Bayesian Modeling for Multivariate Ordinal Data (2005) — 119 citations
- Bayesian correlation estimation (2004) — 106 citations
- Hierarchical priors and mixture models, with applications in regression and density estimation (2006) — 296 citations