Markov Chain Sampling Methods for Dirichlet Process Mixture Models

[1]  P. Green,et al.  Modelling Heterogeneity With and Without the Dirichlet Process , 2001 .

[2]  S. MacEachern,et al.  A semiparametric Bayesian model for randomised block designs , 1996 .

[3]  M. Escobar,et al.  Bayesian Density Estimation and Inference Using Mixtures , 1995 .

[4]  M. Escobar.  Estimating Normal Means with a Dirichlet Process Prior , 1994 .

[5]  John R. Anderson.  The Adaptive Character of Thought , 1990 .

[6]  C. Antoniak.  Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems , 1974 .

[7]  D. Blackwell,et al.  Ferguson Distributions Via Polya Urn Schemes , 1973 .

[8]  T. Ferguson.  A Bayesian Analysis of Some Nonparametric Problems , 1973 .

[9]  W. K. Hastings,et al.  Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .

[10]  Brian D. Ripley,et al.  Stochastic Simulation , 2005 .

[11]  S. MacEachern,et al.  Estimating mixture of dirichlet process models , 1998 .

[12]  Paul Damien,et al.  Sampling Methods For Bayesian Nonparametric Inference Involving Stochastic Processes , 1998 .

[13]  Steven N. MacEachern,et al.  Computational Methods for Mixture of Dirichlet Process Models , 1998 .

[14]  Michael A. West,et al.  Computing Nonparametric Hierarchical Models , 1998 .

[15]  S. MacEachern.  Estimating normal means with a conjugate style dirichlet process prior , 1994 .

[16]  Radford M. Neal.  Bayesian Mixture Modeling , 1992 .

[17]  T. Ferguson.  BAYESIAN DENSITY ESTIMATION BY MIXTURES OF NORMAL DISTRIBUTIONS , 1983 .