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person:"Robert, Christian P."
~subject:"Bayesian inference"
~subject:"Metropolis-Hastings algorithm"
~subject:"Statistical theory"
~subject:"approximate Bayesian methods"
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Bayesian inference
Metropolis-Hastings algorithm
Statistical theory
approximate Bayesian methods
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Markov-Kette
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Robert, Christian P.
Dijk, Herman K. van
36
Tsionas, Efthymios G.
24
Casarin, Roberto
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Hoogerheide, Lennart
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Ravazzolo, Francesco
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Martin, Gael M.
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Peters, Gareth
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Hoogerheide, Lennart F.
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Schorfheide, Frank
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Geweke, John
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Kano, Takashi
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Maneesoonthorn, Worapree
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van Dijk, H. K.
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Computing bayes : from then 'til now
Martin, Gael M.
;
Frazier, David T.
;
Robert, Christian P.
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2022
Persistent link: https://www.econbiz.de/10013494406
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2
Computing Bayes : Bayesian computation from 1763 to the 21st century
Martin, Gael M.
;
Frazier, David T.
;
Robert, Christian P.
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2020
Persistent link: https://www.econbiz.de/10012607643
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3
Reversible jump MCMC converging to birth-and-death MCMC and more general continuous time samplers
Cappé, Olivier
;
Robert, Christian P.
;
Rydén, Tobias
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2001
Persistent link: https://www.econbiz.de/10001626939
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4
Mixture models, latent variables and partitioned importance sampling
Casella, George
;
Robert, Christian P.
;
Wells, Martin T.
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2000
Persistent link: https://www.econbiz.de/10001470588
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5
Bayesian inference in hidden Markov models through jump Markov chain Monte Carlo
Robert, Christian P.
;
Rydén, Tobias
;
Titterington, David M.
-
1999
Persistent link: https://www.econbiz.de/10001380711
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