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
39752009
A sequential particle filter method for static models
N Chopin
Biometrika 89 (3), 539-552, 2002
6762002
Central limit theorem for sequential Monte Carlo methods and its application to Bayesian inference
N Chopin
The Annals of Statistics 32 (6), 2385-2411, 2004
4742004
On particle methods for parameter estimation in state-space models
N Kantas, A Doucet, SS Singh, J Maciejowski, N Chopin
Statistical science 30 (3), 328-351, 2015
3932015
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
388*2013
Control functionals for Monte Carlo integration
CJ Oates, M Girolami, N Chopin
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017
1852017
Theory of Probability revisited (with discussion)
C Robert, N Chopin, J Rousseau
Statist. Science 24 (2), 141-172, 2009
174*2009
Sequential quasi monte carlo
M Gerber, N Chopin
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2015
1322015
Fast simulation of truncated Gaussian distributions
N Chopin
Statistics and Computing 21 (2), 275-288, 2011
1252011
On the properties of variational approximations of Gibbs posteriors
P Alquier, J Ridgway, N Chopin
The Journal of Machine Learning Research 17 (1), 8374-8414, 2016
1232016
On particle Gibbs sampling
N Chopin, SS Singh
Bernoulli 21 (3), 1855-1883, 2015
1222015
Properties of nested sampling
N Chopin, CP Robert
Biometrika 97 (3), 741-755, 2010
1132010
Expectation propagation for likelihood-free inference
S Barthelmé, N Chopin
Journal of the American Statistical Association 109 (505), 315-333, 2014
992014
Sequential Monte Carlo on large binary sampling spaces
C Schäfer, N Chopin
Statistics and Computing 23 (2), 163-184, 2013
972013
Dynamic detection of change points in long time series
N Chopin
Annals of the Institute of Statistical Mathematics 59 (2), 349-366, 2007
762007
Expectation propagation as a way of life
A Gelman, A Vehtari, P Jylänki, C Robert, N Chopin, JP Cunningham
arXiv preprint arXiv:1412.4869 157, 2014
642014
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
An introduction to sequential Monte Carlo
N Chopin, O Papaspiliopoulos
Springer, 2020
522020
Negative association, ordering and convergence of resampling methods
M Gerber, N Chopin, N Whiteley
The Annals of Statistics 47 (4), 2236-2260, 2019
512019
Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation
N Chopin, J Ridgway
Statistical Science 32 (1), 64-87, 2017
502017
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