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Nicolas Chopin
Nicolas Chopin
Professor of Statistics, ENSAE (Institut Polytechnique de Paris)
Verified email at ensae.fr - Homepage
Title
Cited by
Cited by
Year
Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
H Rue, S Martino, N Chopin
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2009
54882009
A sequential particle filter method for static models
N Chopin
Biometrika 89 (3), 539-552, 2002
8122002
Central limit theorem for sequential Monte Carlo methods and its application to Bayesian inference
N Chopin
5542004
On particle methods for parameter estimation in state-space models
N Kantas, A Doucet, SS Singh, J Maciejowski, N Chopin
5372015
SMC2: An Efficient Algorithm for Sequential Analysis of State Space Models
N Chopin, PE Jacob, O Papaspiliopoulos
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2013
5102013
An introduction to sequential Monte Carlo
N Chopin, O Papaspiliopoulos
Springer, 2020
3112020
On the properties of variational approximations of Gibbs posteriors
P Alquier, J Ridgway, N Chopin
Journal of Machine Learning Research 17 (236), 1-41, 2016
2452016
Control functionals for Monte Carlo integration
CJ Oates, M Girolami, N Chopin
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017
2372017
Theory of Probability revisited (with discussion)
C Robert, N Chopin, J Rousseau
Statist. Science 24 (2), 141-172, 2009
233*2009
On particle Gibbs sampling
N Chopin, SS Singh
1682015
Fast simulation of truncated Gaussian distributions
N Chopin
Statistics and Computing 21, 275-288, 2011
1572011
Sequential quasi monte carlo
M Gerber, N Chopin
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2015
1532015
A Bayesian information criterion for singular models
M Drton, M Plummer
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017
1402017
Properties of nested sampling
N Chopin, CP Robert
Biometrika 97 (3), 741-755, 2010
1332010
Sequential Monte Carlo on large binary sampling spaces
C Schäfer, N Chopin
Statistics and Computing 23, 163-184, 2013
1182013
Expectation propagation for likelihood-free inference
S Barthelmé, N Chopin
Journal of the American Statistical Association 109 (505), 315-333, 2014
1152014
Dynamic detection of change points in long time series
N Chopin
Annals of the Institute of Statistical Mathematics 59 (2), 349-366, 2007
852007
Negative association, ordering and convergence of resampling methods
M Gerber, N Chopin, N Whiteley
The Annals of Statistics 47 (4), 2236-2260, 2019
832019
Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation
N Chopin, J Ridgway
832017
Bayesian inference and state number determination for hidden Markov models: an application to the information content of the yield curve about inflation
N Chopin, F Pelgrin
Journal of Econometrics 123 (2), 327-344, 2004
542004
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