Статии с изисквания за обществен достъп - Nicolas ChopinНаучете повече
Не е налице никъде: 1
Sequential Monte Carlo methods in Bayesian joint models for longitudinal and time-to-event data
D Alvares, C Armero, A Forte, N Chopin
Statistical Modelling 21 (1-2), 161-181, 2021
Изисквания: Agence Nationale de la Recherche, Government of Spain
Налице някъде: 14
On particle methods for parameter estimation in state-space models
N Kantas, A Doucet, SS Singh, J Maciejowski, N Chopin
Изисквания: UK Engineering and Physical Sciences Research Council
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
Изисквания: Government of Spain
Control functionals for Monte Carlo integration
CJ Oates, M Girolami, N Chopin
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017
Изисквания: Australian Research Council, UK Engineering and Physical Sciences Research …
On particle Gibbs sampling
N Chopin, SS Singh
Изисквания: UK Engineering and Physical Sciences Research Council
A Bayesian information criterion for singular models
M Drton, M Plummer
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017
Изисквания: US National Science Foundation
Adaptive tuning of hamiltonian monte carlo within sequential monte carlo
A Buchholz, N Chopin, PE Jacob
Bayesian Analysis 16 (3), 745-771, 2021
Изисквания: US National Science Foundation, UK Engineering and Physical Sciences …
Improving approximate Bayesian computation via quasi-Monte Carlo
A Buchholz, N Chopin
Journal of Computational and Graphical Statistics 28 (1), 205-219, 2019
Изисквания: Agence Nationale de la Recherche
Waste-free sequential monte carlo
HD Dau, N Chopin
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022
Изисквания: Agence Nationale de la Recherche
On resampling schemes for particle filters with weakly informative observations
N Chopin, SS Singh, T Soto, M Vihola
The Annals of Statistics 50 (6), 3197-3222, 2022
Изисквания: Academy of Finland
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother
A Corenflos, N Chopin, S Särkkä
Journal of Machine Learning Research 23 (283), 1-39, 2022
Изисквания: Academy of Finland
Fast compression of MCMC output
N Chopin, G Ducrocq
Entropy 23 (8), 1017, 2021
Изисквания: Agence Nationale de la Recherche
Bayesian hierarchical finite mixture models of reading times: A case study
S Vasishth, B Nicenboim, N Chopin, R Ryder
PsyArXiv, 2017
Изисквания: German Research Foundation, Volkswagen Foundation
Improved Gibbs samplers for cosmic microwave background power spectrum estimation
G Ducrocq, N Chopin, J Errard, R Stompor
Physical Review D 105 (10), 103501, 2022
Изисквания: Agence Nationale de la Recherche
Sequential Monte Carlo Methods in Random Intercept Models for Longitudinal Data
D Alvares, C Armero, A Forte, N Chopin
Bayesian Statistics in Action: BAYSM 2016, Florence, Italy, June 19-21, 3-9, 2017
Изисквания: Government of Spain
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