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On the particle Gibbs sampler
Chopin, Nicolas
;
Singh, Sumeetpal S.
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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
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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
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2002
Persistent link: https://www.econbiz.de/10001720951
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5
Sequential inference and state number determination for discrete state-space models through particle filtering
Chopin, Nicolas
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2001
Persistent link: https://www.econbiz.de/10001626891
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6
A sequential particle filter method for static models
Chopin, Nicolas
-
2000
Persistent link: https://www.econbiz.de/10001548997
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7
Improving approximate Bayesian computation via quasi Monte Carlo
Buchholz, Alexander
;
Chopin, Nicolas
-
2017
Persistent link: https://www.econbiz.de/10012198654
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