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Nicolas Chopin

Biographic Data

ID1936185
NAMENicolas Chopin
GIVEN NAMESNicolas
FAMILY NAMEChopin
SIGNATURECHOPIN N
AFFILIATIONSCentre de Recherche en Economie et Statistique and Ecole Nationale de la Statistique et de l’Administration Economique , Paris , France
ORCID0000-0002-0628-5815
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS2
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2009
LATEST PUBLICATION YEAR2020
H-INDEX1
  • Imprecise neural computations as a source of adaptive behaviour in volatile environments

    Open Access•Charles Findling, Nicolas Chopin et al.•ARTICLE•Nature Human Behaviour•2020•Cited by: 2•References: 39

  • Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations

    Open Access•Håvard Rue, Finn Lindgren et al.•ARTICLE•Journal of the Royal Statistical…•2009

    Structured additive regression models are perhaps the most commonly used class of models in statistical applications. It includes, among others, (generalized) linear models, (generalized) additive models, smoothing spline models, state space models, semiparametric regression, spatial and spatiotemporal models, log-Gaussian Cox processes and geostatistical and geoadditive models. We consider approximate Bayesian inference in a popular subset of st…

  • Imprecise neural computations as a source of adaptive behaviour in volatile environments

    Open Access•Charles Findling, Nicolas Chopin et al.•ARTICLE•Nature Human Behaviour•2020•Cited by: 2•References: 39

  • Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations

    Open Access•Håvard Rue, Finn Lindgren et al.•ARTICLE•Journal of the Royal Statistical…•2009

    Structured additive regression models are perhaps the most commonly used class of models in statistical applications. It includes, among others, (generalized) linear models, (generalized) additive models, smoothing spline models, state space models, semiparametric regression, spatial and spatiotemporal models, log-Gaussian Cox processes and geostatistical and geoadditive models. We consider approximate Bayesian inference in a popular subset of st…

  • Imprecise neural computations as a source of adaptive behaviour in volatile environments

    Open Access•Charles Findling, Nicolas Chopin et al.•ARTICLE•Nature Human Behaviour•2020•Cited by: 2•References: 39

Algorithm (2 works) · Computer Science (2 works) · Mathematics (2 works) · Adaptive behaviour (1 work) · Applied Mathematics (1 work) · Artificial Intelligence (1 work) · Bayesian inference (1 work) · Bayesian Methods and Mixture Models (1 work) · Bayesian probability (1 work) · Cognitive science (1 work)

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