Non-Uniform Random Variate Generation (1986)

by Luc Devroye
Citations:619 - 21 self

Active Bibliography

2 Convergence Of Markov Chain Monte Carlo Algorithms With Applications To Image Restoration – Alison L. Gibbs - 2000
15 Markov Chain Monte Carlo and Spatial Point Processes – J. Møller - 1999
2 Aspects Of Spatial Statistics, Stochastic Geometry And Markov Chain Monte Carlo Methods – Jesper Møller - 1999
96 Metropolized Independent Sampling with Comparisons to Rejection Sampling and Importance Sampling – Jun S. Liu - 1996
Efficient Perfect and MCMC Sampling . . . – Murali Haran - 2003
3 Markov chain Monte Carlo and related topics – Jun S. Liu - 1999
5 Bounding the convergence time of the Gibbs sampler in Bayesian image restoration – Alison L. Gibbs - 1998
14 Generalized Gibbs sampler and multigrid Monte Carlo for Bayesian computation – Jun S. Liu, Chiara Sabatti - 1999
Variance Reduction – In Any
. Variance reduction – In Any Of, N In
7 Markov chain Monte Carlo methods for statistical inference – Julian Besag - 2004
1 An Auto-Validating, Trans-Dimensional, Universal Rejection Sampler for Locally Lipschitz Arithmetical Expressions – Raazesh Sainudiin, Thomas York - 2013
An Analysis of Some Models Used in Image Segmentation – Robin Morris, Xavier Descombes, Josiane Zerubia - 1996
Simulation based Bayesian econometric inference: principles and some recent computational advances – Lennart F. Hoogerheide, Herman K. Van Dijk, Rutger D. Van, Oest Core, Discussion Paper, Lennart F. Hoogerheide, Herman K. Van Dijk, Rutger D. Van Oest - 2007
importance – Jun S. Liu - 1994
26 EQUI-ENERGY SAMPLER WITH APPLICATIONS IN STATISTICAL INFERENCE AND STATISTICAL MECHANICS – S. C. Kou, Qing Zhou, Wing Hung Wong - 2006
Diagnostics: A Comparative Review – Kathryn Cowles, Bradley P. Carlin
222 An Introduction to MCMC for Machine Learning – Christophe Andrieu - 2003
9 Ordering, Slicing And Splitting Monte Carlo Markov Chains – Antonietta Mira - 1998