Mixture models, latent variables and partitioned importance sampling

[1]  Mixture Distributions (Update) , 2004 .

[2]  Hoon Kim,et al.  Monte Carlo Statistical Methods , 2000, Technometrics.

[3]  C. Robert,et al.  Computational and Inferential Difficulties with Mixture Posterior Distributions , 2000 .

[4]  C. Robert,et al.  Reparameterisation issues in mixture modelling and their bearing on MCMC algorithms , 1999 .

[5]  C. Robert,et al.  MCMC Control Spreadsheets for Exponential Mixture Estimation , 1999 .

[6]  G. Casella,et al.  Post-Processing Accept-Reject Samples: Recycling and Rescaling , 1998 .

[7]  Christian P. Robert,et al.  MCMC Specifics for Latent Variable Models , 1998, COMPSTAT.

[8]  L. Wasserman,et al.  Practical Bayesian Density Estimation Using Mixtures of Normals , 1997 .

[9]  P. Green,et al.  On Bayesian Analysis of Mixtures with an Unknown Number of Components (with discussion) , 1997 .

[10]  G. Casella,et al.  Rao-Blackwellisation of sampling schemes , 1996 .

[11]  S. Chib.  Marginal Likelihood from the Gibbs Output , 1995 .

[12]  Walter R. Gilks,et al.  Bayesian model comparison via jump diffusions , 1995 .

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

[14]  K. Roeder.  Semiparametric Estimation of Normal Mixture Densities , 1992 .

[15]  L. Wasserman,et al.  Bayesian analysis of outlier problems using the Gibbs sampler , 1991 .

[16]  Adrian F. M. Smith,et al.  Sampling-Based Approaches to Calculating Marginal Densities , 1990 .

[17]  J. Diebolt,et al.  Estimation des paramètres d'un mélange par échantillonage bayésien , 1990 .

[18]  Geoffrey J. McLachlan,et al.  Mixture models : inference and applications to clustering , 1989 .

[19]  C. N. Morris,et al.  The calculation of posterior distributions by data augmentation , 1987 .

[20]  A. F. Smith,et al.  Statistical analysis of finite mixture distributions , 1986 .

[21]  R. Stanley.  What Is Enumerative Combinatorics , 1986 .

[22]  Brian Everitt,et al.  An Introduction to Latent Variable Models , 1984 .

[23]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[24]  Charles E. Clark,et al.  Monte Carlo , 2006 .

[25]  K. Pearson.  Contributions to the Mathematical Theory of Evolution , 1894 .