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On the particle Gibbs sampler
Chopin, Nicolas; Singh, Sumeetpal S. - 2013
Persistent link: https://www.econbiz.de/10010348589
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Theoretical guarantees for approximate sampling from smooth and log-concave densities
Dalalyan, Arnak S. - 2014
Persistent link: https://www.econbiz.de/10010481265
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Central limit theorem for sequential Monte Carlo methods and its applications to Bayesian inference
Chopin, Nicolas - 2002
Persistent link: https://www.econbiz.de/10001720951
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Sequential inference and state number determination for discrete state-space models through particle filtering
Chopin, Nicolas - 2001
Persistent link: https://www.econbiz.de/10001626891
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Controlled MCMC for optimal sampling
Andrieu, Christophe; Robert, Christian P. - 2001
Persistent link: https://www.econbiz.de/10001626935
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Reversible jump MCMC converging to birth-and-death MCMC and more general continuous time samplers
Cappé, Olivier; Robert, Christian P.; Rydén, Tobias - 2001
Persistent link: https://www.econbiz.de/10001626939
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A sequential particle filter method for static models
Chopin, Nicolas - 2000
Persistent link: https://www.econbiz.de/10001548997
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Explaining the perfect sampler
Casella, George; Lavine, Michael; Robert, Christian P. - 2000
Persistent link: https://www.econbiz.de/10001549297
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Bayesian analysis of poisson mixtures
Green, Peter J.; Richardson, Sylvia; Viallefont, Valérie - 2000
Persistent link: https://www.econbiz.de/10001476104
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MCMC convergence diagnostics : a "reviewww"
Guihenneuc-Jouhaux, Chantal; Mengersen, Kerrie; Robert, … - 1998
Persistent link: https://www.econbiz.de/10000986962