Παρακολούθηση
Nicolas Chopin
Nicolas Chopin
Professor of Statistics, ENSAE (Institut Polytechnique de Paris)
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ensae.fr - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
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
60662009
A sequential particle filter method for static models
N Chopin
Biometrika 89 (3), 539-552, 2002
8642002
On particle methods for parameter estimation in state-space models
N Kantas, A Doucet, SS Singh, J Maciejowski, N Chopin
5932015
Central limit theorem for sequential Monte Carlo methods and its application to Bayesian inference
N Chopin
5792004
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
5302013
An introduction to sequential Monte Carlo
N Chopin, O Papaspiliopoulos
Springer, 2020
4442020
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
2862016
Control functionals for Monte Carlo integration
CJ Oates, M Girolami, N Chopin
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017
2592017
Theory of Probability revisited (with discussion)
C Robert, N Chopin, J Rousseau
Statist. Science 24 (2), 141-172, 2009
251*2009
On particle Gibbs sampling
N Chopin, SS Singh
1832015
A Bayesian information criterion for singular models
M Drton, M Plummer
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017
1662017
Sequential quasi monte carlo
M Gerber, N Chopin
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2015
1652015
Fast simulation of truncated Gaussian distributions
N Chopin
Statistics and Computing 21, 275-288, 2011
1602011
Properties of nested sampling
N Chopin, CP Robert
Biometrika 97 (3), 741-755, 2010
1392010
Sequential Monte Carlo on large binary sampling spaces
C Schäfer, N Chopin
Statistics and Computing 23, 163-184, 2013
1282013
Expectation propagation for likelihood-free inference
S Barthelmé, N Chopin
Journal of the American Statistical Association 109 (505), 315-333, 2014
1192014
Negative association, ordering and convergence of resampling methods
M Gerber, N Chopin, N Whiteley
The Annals of Statistics 47 (4), 2236-2260, 2019
942019
Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation
N Chopin, J Ridgway
932017
Dynamic detection of change points in long time series
N Chopin
Annals of the Institute of Statistical Mathematics 59 (2), 349-366, 2007
852007
Free energy methods for Bayesian inference: efficient exploration of univariate Gaussian mixture posteriors
N Chopin, T Lelièvre, G Stoltz
Statistics and Computing 22, 897-916, 2012
55*2012
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