|
445
|
Inference from iterative simulation using multiple sequences (with discussion). Stat Sci
– A Gelman, Rubin DB
- 1992
|
|
1644
|
Equation of state calculation by fast computing machines
– N Metropolis, Rosenbluth AN, Rosenbluth MN, Teller AH, E Teller
- 1953
|
|
295
|
Bayesian computations via the Gibbs sampler and related Markov chain Monte Carlo methods
– A F M Smith, G O Roberts
- 1993
|
|
164
|
Minorization Conditions and Convergence Rates for Markov Chain Monte Carlo
– Jeffrey S. Rosenthal
- 1995
|
|
176
|
Evaluating the Accuracy of Sampling-Based Approaches to the Calculation of Posterior Moments
– John Geweke
- 1992
|
|
589
|
AFM. Sampling-based approaches to calculating marginal densities
– Gelfand AE, Smith
- 1990
|
|
103
|
Practical markov chain monte carlo
– C Geyer
- 1992
|
|
77
|
Computable bounds for convergence rates of Markov chains
– S P Meyn, R L Tweedie
- 1994
|
|
37
|
Analysis of the Gibbs sampler for a model related to James-Stein estimators
– Jeffrey S. Rosenthal
- 1995
|
|
886
|
Monte carlo sampling methods using markov chains and their applications
– W K Hastings
- 1970
|
|
607
|
Markov chains for exploring posterior distributions
– Luke Tierney
- 1994
|
|
62
|
How Many Iterations in the Gibbs Sampler?
– Adrian E. Raftery, Steven Lewis
- 1992
|
|
887
|
Bayesian Data Analysis
– Andrew Gelman, Christian Robert, Nicolas Chopin, Judith Rousseau
- 1995
|
|
315
|
Sampling based approaches to calculating marginal densities
– A E Gelfand, A F M Smith
- 1990
|
|
3012
|
Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
– S Geman, D Geman
- 1984
|
|
417
|
Markov chains and stochastic stability
– S P Meyn, R L Tweedie
- 1993
|
|
337
|
Exact Sampling with Coupled Markov Chains and Applications to Statistical Mechanics
– James Gary Propp, David Bruce Wilson
- 1996
|
|
128
|
Illustration of Bayesian inference in normal data models using Gibbs sampling
– A E Gelfand, S E Hills, A Racine-Poon, A F M Smith
- 1990
|
|
401
|
Wong W: The calculation of posterior distributions by data augmentation
– M Tanner
- 1987
|
