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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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Calculating principal eigen-functions of non-negative integral kernels : particle approximations and applications
Whiteley, Nick; Kantas, Nikolas - In: Mathematics of operations research 42 (2017) 4, pp. 1007-1034
Persistent link: https://www.econbiz.de/10011773301
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Adaptive Monte Carlo on multivariate binary sampling spaces
Chopin, Nicolas; Schäfer, Christian - 2010
Persistent link: https://www.econbiz.de/10009405981
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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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A sequential particle filter method for static models
Chopin, Nicolas - 2000
Persistent link: https://www.econbiz.de/10001548997
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Improving approximate Bayesian computation via quasi Monte Carlo
Buchholz, Alexander; Chopin, Nicolas - 2017
Persistent link: https://www.econbiz.de/10012198654