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
33002009
A sequential particle filter method for static models
N Chopin
Biometrika 89 (3), 539-552, 2002
6122002
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
4552004
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
358*2013
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
3222015
Theory of Probability revisited (with discussion)
C Robert, N Chopin, J Rousseau
Statist. Science 24 (2), 141-172, 2009
150*2009
Control functionals for Monte Carlo integration
CJ Oates, M Girolami, N Chopin
arXiv preprint arXiv:1410.2392, 2014
1452014
Fast simulation of truncated Gaussian distributions
N Chopin
Statistics and Computing 21 (2), 275-288, 2011
1212011
Sequential quasi-Monte Carlo
M Gerber, N Chopin
arXiv preprint arXiv:1402.4039, 2014
1152014
On particle Gibbs sampling
N Chopin, SS Singh
Bernoulli 21 (3), 1855-1883, 2015
1042015
Properties of nested sampling
N Chopin, CP Robert
Biometrika 97 (3), 741-755, 2010
1012010
Expectation propagation for likelihood-free inference
S Barthelmé, N Chopin
Journal of the American Statistical Association 109 (505), 315-333, 2014
942014
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
832016
Sequential Monte Carlo on large binary sampling spaces
C Schäfer, N Chopin
Statistics and Computing 23 (2), 163-184, 2013
802013
Dynamic detection of change points in long time series
N Chopin
Annals of the Institute of Statistical Mathematics 59 (2), 349-366, 2007
742007
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
552014
Inference and model choice for sequentially ordered hidden Markov models
N Chopin
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2007
52*2007
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
522004
Parameter inference for stochastic kinetic models of bacterial gene regulation: a Bayesian approach to systems biology
DJ Wilkinson
Proceedings of 9th Valencia International Meeting on Bayesian Statistics …, 2010
492010
Free energy methods for Bayesian inference: efficient exploration of univariate Gaussian mixture posteriors
N Chopin, T Lelièvre, G Stoltz
Statistics and Computing 22 (4), 897-916, 2012
442012
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Articles 1–20