Optimizing random scan Gibbs samplers

[1]  Christian P. Robert,et al.  Monte Carlo Statistical Methods (Springer Texts in Statistics) , 2005 .

[2]  Zhaoxia Yu,et al.  Implementing random scan Gibbs samplers , 2005, Comput. Stat..

[3]  G. Casella,et al.  Mixture models, latent variables and partitioned importance sampling , 2004 .

[4]  Christian P. Robert,et al.  Monte Carlo Statistical Methods , 2005, Springer Texts in Statistics.

[5]  Radford M. Neal.  Markov Chain Sampling Methods for Dirichlet Process Mixture Models , 2000 .

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

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

[8]  Sylvia Richardson,et al.  Markov Chain Monte Carlo in Practice , 1997 .

[9]  G. Roberts,et al.  Updating Schemes, Correlation Structure, Blocking and Parameterization for the Gibbs Sampler , 1997 .

[10]  George S. Fishman.  Coordinate selection rules for Gibbs sampling , 1996 .

[11]  S. Richardson,et al.  Mixtures of distributions: inference and estimation , 1995 .

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

[13]  B. Carlin,et al.  Bayesian Model Choice Via Markov Chain Monte Carlo Methods , 1995 .

[14]  C. Robert.  Convergence Control Methods for Markov Chain Monte Carlo Algorithms , 1995 .

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

[16]  C. Robert.  Discussion: Markov Chains for Exploring Posterior Distributions , 1994 .

[17]  L. Tierney.  Markov Chains for Exploring Posterior Distributions , 1994 .

[18]  C. Robert,et al.  Estimation of Finite Mixture Distributions Through Bayesian Sampling , 1994 .

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

[20]  Jun S. Liu,et al.  Covariance structure of the Gibbs sampler with applications to the comparisons of estimators and augmentation schemes , 1994 .

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

[22]  J. Hoffmann-jorgensen,et al.  Probability with a View Toward Statistics , 1994 .

[23]  U. Grenander,et al.  Comparing sweep strategies for stochastic relaxation , 1991 .

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

[25]  M. Postman,et al.  Probes of large-scale structure in the Corona Borealis region. , 1986 .

[26]  Donald Geman,et al.  Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[27]  Gerald S. Rogers,et al.  Mathematical Statistics: A Decision Theoretic Approach , 1967 .

[28]  W. Fleming.  Functions of Several Variables , 1965 .

[29]  E. L. Lehmann,et al.  Theory of point estimation , 1950 .