Nicolas Chopin

116
Documents

Publications

Publications

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A forward-only scheme for online learning of proposal distributions in particle filters

Sylvain Procope-Mamert , Nicolas Chopin , Maud Delattre , Guillaume Kon Kam King

2026

Pré-publication, Document de travail hal-05479972v1

Convergence of a class of gradient-free optimisation schemes when the objective function is noisy, irregular, or both

Christophe Andrieu , Nicolas Chopin , Ettore Fincato , Mathieu Gerber

2025

Pré-publication, Document de travail hal-05414776v1
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Extrapolation of Tempered Posteriors

Mengxin Xi , Zheyang Shen , Marina Riabiz , Nicolas Chopin , Chris J. Oates

2025

Pré-publication, Document de travail hal-05365764v1

Gradient-free optimization via integration

Christophe Andrieu , Nicolas Chopin , Ettore Fincato , Mathieu Gerber

2025

Pré-publication, Document de travail hal-05414734v1
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Saddlepoint Monte Carlo and its Application to Exact Ecological Inference

Théo Voldoire , Nicolas Chopin , Guillaume Rateau , Robin Ryder

2025

Pré-publication, Document de travail hal-04793335v1
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Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning

Otmane Sakhi , Imad Aouali , Pierre Alquier , Nicolas Chopin

2024

Pré-publication, Document de travail hal-04629226v1

On the utility of Metropolis-Hastings with asymmetric acceptance ratio

Christophe Andrieu , Arnaud Doucet , Sinan Yıldırım , Nicolas Chopin

2025

Pré-publication, Document de travail hal-05414746v1

Bayesian Hierarchical Finite Mixture Models of Reading Times: A Case Study

Shravan Vasishth , Bruno Nicenboim , Nicolas Chopin , Robin Ryder

2025

Pré-publication, Document de travail hal-05414778v1

Towards automatic calibration of the number of state particles within the SMC$^2$ algorithm

Nicolas Chopin , James Ridgway , Mathieu Gerber , Omiros Papaspiliopoulos

2025

Pré-publication, Document de travail hal-05414781v1

Divide and conquer in ABC: Expectation-Progagation algorithms for likelihood-free inference

Simon Barthelme , Nicolas Chopin , Vincent Cottet

2015

Pré-publication, Document de travail hal-01236876v1

Bayesian matrix completion: prior specification

Pierre Alquier , Vincent Cottet , Nicolas Chopin , Judith Rousseau

2014

Pré-publication, Document de travail hal-05414785v1

Some discussions of D. Fearnhead and D. Prangle's Read Paper "Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation

Christophe Andrieu , Simon Barthelme , Nicolas Chopin , Julien Cornebise , Arnaud Doucet et al.

2012

Pré-publication, Document de travail hal-00658084v1
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EXACT SAMPLING USING BRANCHING PARTICLE SIMULATION

Christophe Andrieu , Nicolas Chopin , Arnaud Doucet , Sylvain Rubenthaler

2012

Pré-publication, Document de travail hal-00737040v4

SMC^2: A sequential Monte Carlo algorithm with particle Markov chain Monte Carlo updates

Nicolas Chopin , Pierre E. Jacob , Omiros Papaspiliopoulos

2011

Pré-publication, Document de travail hal-00634215v1
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Computational aspects of Bayesian spectral density estimation

Nicolas Chopin , Judith Rousseau , Brunero Liseo

2011

Pré-publication, Document de travail hal-00767466v1
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Sequential Monte Carlo on large binary sampling spaces

Christian Schäfer , Nicolas Chopin

2011

Pré-publication, Document de travail hal-00561118v2

On Particle Learning

Nicolas Chopin , Alessandra Iacobucci , Jean-Michel Marin , Kerrie Mengersen , Christian Robert et al.

2010

Pré-publication, Document de travail hal-00494357v1

Discussions on "Riemann manifold Langevin and Hamiltonian Monte Carlo methods

Simon Barthelme , Magali Beffy , Nicolas Chopin , Arnaud Doucet , Pierre Jacob et al.

2010

Pré-publication, Document de travail hal-00596301v1

Free energy Sequential Monte Carlo, application to mixture modelling

Nicolas Chopin , Pierre Jacob

2010

Pré-publication, Document de travail hal-00634222v1
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Stability of Feynman-Kac formulae with path-dependent potentials

Nicolas Chopin , Pierre del Moral , Sylvain Rubenthaler

2009

Pré-publication, Document de travail hal-00426415v1

Comments on "Particle Markov chain Monte Carlo" by C. Andrieu, A. Doucet, and R. Hollenstein

Pierre Jacob , Nicolas Chopin , Christian Robert , Havard Rue

2009

Pré-publication, Document de travail hal-00431307v1
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Towards a turnkey approach for unbiased Monte Carlo estimation of smooth functions of expectations

Nicolas Chopin , Francesca Crucinio , Sumeetpal Singh

Biometrika, 2025, 112 (3), ⟨10.1093/biomet/asaf030⟩

Article dans une revue hal-05365655v1
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Adaptive stratified Monte Carlo using decision trees

Nicolas Chopin , Hejin Wang , Mathieu Gerber

Statistics and Computing, 2025, 35 (6), pp.193. ⟨10.1007/s11222-025-10731-6⟩

Article dans une revue hal-05365648v1

Debiasing piecewise deterministic Markov process samplers using couplings

Adrien Corenflos , Matthew Sutton , Nicolas Chopin

Scandinavian Journal of Statistics, 2025, 52 (4), pp.1932-1974. ⟨10.1111/sjos.70015⟩

Article dans une revue hal-05414739v1
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Scalable bayesian bi-level variable selection in generalized linear models

Younès Youssfi , Nicolas Chopin

Foundations of Data Science, 2024, ⟨10.3934/fods.2024010⟩

Article dans une revue hal-04793340v1
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Higher-Order Monte Carlo through Cubic Stratification

Nicolas Chopin , Mathieu Gerber

SIAM Journal on Numerical Analysis, 2024, 62 (1), pp.229-247. ⟨10.1137/22M1532287⟩

Article dans une revue hal-04793451v1

Fast Slate Policy Optimization: Going Beyond Plackett-Luce

Nicolas Chopin , Otmane Sakhi , David Rhode

Transactions on Machine Learning Research Journal, 2023

Article dans une revue hal-04793514v1
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On backward smoothing algorithms

Hai-Dang Dau , Nicolas Chopin

Annals of Statistics, 2023, 51 (5), ⟨10.1214/23-AOS2324⟩

Article dans une revue hal-04417980v1
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De-biasing Particle Filtering for a Continuous Time Hidden Markov Model With a Cox Process Observation Model

Ruiyang Jin , Sumeetpal Singh , Nicolas Chopin

Statistica Sinica, 2023, ⟨10.5705/ss.202022.0210⟩

Article dans une revue hal-04273253v1
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Waste-Free Sequential Monte Carlo

Hai-Dang Dau , Nicolas Chopin

Journal of the Royal Statistical Society: Series B, 2022, 84 (1), pp.114-148. ⟨10.1111/rssb.12475⟩

Article dans une revue hal-04273259v1
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On resampling schemes for particle filters with weakly informative observations

Nicolas Chopin , Sumeetpal Singh , Tomás Soto , Matti Vihola

Annals of Statistics, 2022, 50 (6), ⟨10.1214/22-aos2222⟩

Article dans une revue hal-04273240v1
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On resampling schemes for particle filters with weakly informative observations

Nicolas Chopin , Sumeetpal Singh , Tomás Soto , Matti Vihola

Annals of Statistics, 2022, 50 (6), ⟨10.1214/22-aos2222⟩

Article dans une revue hal-04273238v1
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Improved Gibbs samplers for cosmic microwave background power spectrum estimation

Gabriel Ducrocq , Nicolas Chopin , Josquin Errard , Radek Stompor

Physical Review D, 2022, 105 (10), pp.103501. ⟨10.1103/PhysRevD.105.103501⟩

Article dans une revue hal-03454933v1

De-Sequentialized Monte Carlo: a parallel-in-time particle smoother

Nicolas Chopin

Journal of Machine Learning Research, 2022, 23 (1–39)

Article dans une revue hal-04793540v1

Sequential Monte Carlo methods in Bayesian joint models for longitudinal and time-to-event data

Danilo Alvares , Carmen Armero , Anabel Forte , Nicolas Chopin

Statistical Modelling, 2021, 21 (1-2), pp.161-181. ⟨10.1177/1471082X20916088⟩

Article dans une revue hal-04273266v1
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Lymphovascular invasion has a significant prognostic impact in patients with early breast cancer, results from a large, national, multicenter, retrospective cohort study

G. Houvenaeghel , M. Cohen , J.M. M Classe , F. Reyal , C. Mazouni et al.

ESMO Open, 2021, 6 (6), pp.100316. ⟨10.1016/j.esmoop.2021.100316⟩

Article dans une revue hal-03468643v1
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Fast Compression of MCMC Output

Nicolas Chopin , Gabriel Ducrocq

Entropy, 2021, 23 (8), pp.1017. ⟨10.3390/e23081017⟩

Article dans une revue hal-04273261v1
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Lack of prognostic impact of sentinel node micro-metastases in endocrine receptor-positive early breast cancer: results from a large multicenter cohort☆

G. Houvenaeghel , A. de Nonneville , M. Cohen , N. Chopin , C. Coutant et al.

ESMO Open, 2021, 6 (3), pp.100151. ⟨10.1016/j.esmoop.2021.100151⟩

Article dans une revue hal-03230902v1
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Adaptive Tuning of Hamiltonian Monte Carlo Within Sequential Monte Carlo

Alexander Buchholz , Nicolas Chopin , Pierre Jacob

Bayesian Analysis, 2021, 16 (3), ⟨10.1214/20-BA1222⟩

Article dans une revue hal-04793468v1

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

Charles Findling , Nicolas Chopin , Etienne Koechlin

Nature Human Behaviour, 2021, 5 (1), pp.99-112. ⟨10.1038/s41562-020-00971-z⟩

Article dans une revue hal-04273268v1
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Detailed overview on rare malignant ovarian tumors

Stefanie Aust , Lauriane Eberst , Olivier Tredan , Christine Rousset-Jablonski , Isabelle Treilleux et al.

Bulletin du Cancer, 2020, 107, pp.385 - 390. ⟨10.1016/j.bulcan.2020.01.011⟩

Article dans une revue hal-03489496v1
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Luminescent N-heterocycles based molecular backbone interleaved within LDH host structure and dispersed into polymer

Paul Legentil , Geneviève Chadeyron , Sandrine Therias , Nicolas Chopin , Doina Sirbu et al.

Applied Clay Science, 2020, 189, pp.105561. ⟨10.1016/j.clay.2020.105561⟩

Article dans une revue hal-02536944v1
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Negative association, ordering and convergence of resampling methods

Mathieu Gerber , Nicolas Chopin , Nick Whiteley

Annals of Statistics, 2019, 47 (4), ⟨10.1214/18-AOS1746⟩

Article dans une revue hal-04273270v1

Adjuvant chemotherapy in lobular carcinoma of the breast: a clinicopathological score identifies high-risk patient with survival benefit

Alexandre de Nonneville , Camille Jauffret , Anthony Gonçalves , Jean-Marc Classe , Monique Cohen et al.

Breast Cancer Research and Treatment, 2019, 175 (2), pp.379-387. ⟨10.1007/s10549-019-05160-9⟩

Article dans une revue hal-02419353v1

Isolated ipsilateral local recurrence of breast cancer: predictive factors and prognostic impact

Gilles Houvenaeghel , Alexandre de Nonneville , Monique Cohen , Jean-Marc Classe , Fabien Reyal et al.

Breast Cancer Research and Treatment, 2019, 173 (1), pp.111-122. ⟨10.1007/s10549-018-4944-2⟩

Article dans une revue hal-02421376v1

Tubular and mucinous breast cancer: results of a cohort of 917 patients

Pauline Roux , Sophie Knight , Monique Cohen , Jean Marc Classe , Chafika Mazouni et al.

Tumori, 2019, 105 (1), pp.55-62. ⟨10.1177/0300891618811282⟩

Article dans une revue hal-02459745v1
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Autocrine Adenosine regulates tumor polyfunctional CD73+CD4+ effector T cells devoid of immune checkpoints

Nicolas Gourdin , Marion Bossennec , Céline Rodriguez , Selena Vigano , Christelle Machon et al.

Cancer Research, 2018, 78 (13), pp.3604-3618. ⟨10.1158/0008-5472.CAN-17-2405⟩

Article dans une revue hal-02285966v1

Is post mastectomy radiotherapy contributive in pN0-1mi breast cancers patients? Results of a French multi-centric cohort

Violaine Forissier , Agnes Tallet , Monique Cohen , Jean-Marc Classe , Fabien Reyal et al.

Cancer Research, 2018, 78 (4, S)

Article dans une revue hal-02143679v1
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Préservation de la fertilité, contraception et traitement hormonal de la ménopause chez les femmes traitées pour tumeurs malignes rares de l’ovaire : recommandations du réseau national dédié aux cancers gynécologiques rares (TMRG/GINECO)

Christine Rousset-Jablonski , Frédéric Selle , Elodie Adda-Herzog , François Planchamp , Lise Selleret et al.

Bulletin du Cancer, 2018, 105 (3), pp.299 - 314. ⟨10.1016/j.bulcan.2017.10.032⟩

Article dans une revue hal-01926591v1
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Improving Approximate Bayesian Computation via Quasi-Monte Carlo

Alexander Buchholz , Nicolas Chopin

Journal of Computational and Graphical Statistics, 2018, 28 (1), pp.205-219. ⟨10.1080/10618600.2018.1497511⟩

Article dans une revue hal-04273272v1

Improving Approximate Bayesian Computation via Quasi-Monte Carlo

Alexander Buchholz , Nicolas Chopin

Journal of Computational and Graphical Statistics, 2018, 28 (1), pp.205-219. ⟨10.1080/10618600.2018.1497511⟩

Article dans une revue hal-02391181v1
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Noise contrastive estimation: Asymptotic properties, formal comparison with MC-MLE

Lionel Riou-Durand , Nicolas Chopin

Electronic Journal of Statistics , 2018, 12 (2), pp.3473-3518. ⟨10.1214/18-EJS1485⟩

Article dans une revue hal-02391188v1
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Convergence of sequential quasi-Monte Carlo smoothing algorithms

Mathieu Gerber , Nicolas Chopin

Bernoulli, 2017, 23 (4B), pp.2951-2987. ⟨10.3150/16-BEJ834⟩

Article dans une revue hal-02391197v1
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Control functionals for Monte Carlo integration

Chris Oates , Mark Girolami , Nicolas Chopin

Journal of the Royal Statistical Society. Series B. Methodological, 2017, 79 (3), pp.695-718. ⟨10.1111/rssb.12185⟩

Article dans une revue hal-02391194v1
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Leave Pima Indians Alone: Binary Regression as a Benchmark for Bayesian Computation

Nicolas Chopin , James Ridgway

Statistical Science, 2017, 32 (1), pp.64-87. ⟨10.1214/16-STS581⟩

Article dans une revue hal-02391201v1

7-Chloro-4-aminoquinoline γ-hydroxy-γ-lactam derived-tetramates as a new family of antimalarial compounds

N. Chopin , S. Iikawa , J. Bosson , A. Lavoignat , G. Bonnot et al.

Bioorganic and Medicinal Chemistry Letters, 2016, 26 (21), pp.5308-5311. ⟨10.1016/j.bmcl.2016.09.038⟩

Article dans une revue istex hal-02046197v1

On the properties of variational approximations of Gibbs posteriors

Nicolas Chopin , Pierre Alquier , James Ridgway

Journal of Machine Learning Research, 2016, 17 (236)

Article dans une revue hal-02403354v1
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On Particle Methods for Parameter Estimation in State-Space Models

Nikolas Kantas , Arnaud Doucet , Sumeetpal Singh , Jan Maciejowski , Nicolas Chopin

Statistical Science, 2015, 30 (3), ⟨10.1214/14-STS511⟩

Article dans une revue hal-04793401v1

Excessive checking behavior during an image comparison task in schizophrenia

N. Jaafari , N. Chopin , C. Levy , J.-Y. Rotge , N. Lafay et al.

European Psychiatry, 2015, 30 (2), pp.233--241. ⟨10.1016/j.eurpsy.2014.11.012⟩

Article dans une revue istex hal-01147093v1

A Rapid Entry to Diverse γ‐Ylidenetetronate Derivatives through Regioselective ­Bromination of Tetronic Acid Derived γ‐Lactones and Metal‐Catalyzed Postfunctionalization

N. Chopin , H. Yanai , S. Iikawa , G. Pilet , J.-P. Bouillon et al.

European Journal of Organic Chemistry, 2015, 2015 (28), pp.6259-6269. ⟨10.1002/ejoc.201500663⟩

Article dans une revue istex hal-02046144v1
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The Poisson transform for unnormalised statistical models

Simon Barthelme , Nicolas Chopin

Statistics and Computing, 2015, 25 (4), pp.767-780. ⟨10.1007/s11222-015-9559-4⟩

Article dans une revue hal-02391270v1

On some recent advances on high dimensional Bayesian statistics

Nicolas Chopin , Sébastien Gadat , Benjamin Guedj , Arnaud Guyader , Elodie Vernet

ESAIM: Proceedings and Surveys, 2015, 51, pp.293-319. ⟨10.1051/proc/201551016⟩

Article dans une revue hal-04793409v1
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On particle Gibbs sampling

Nicolas Chopin , Sumeetpal Singh

Bernoulli, 2015, 21 (3), pp.1855-1883. ⟨10.3150/14-BEJ629⟩

Article dans une revue hal-02391274v1

A versatile ethanolamine-derived trifluoromethyl enaminone ligand for the elaboration of nickel(II) and copper(II)-dysprosium(III) multinuclear complexes with magnetic properties.

Nicolas Chopin , Ghénadie Novitchi , Maurice Médebielle , Guillaume Pilet

Journal of Fluorine Chemistry, 2015, 179, pp.169-174

Article dans une revue hal-01556893v1

Quenching of fluorescence in bodipy-derived trifluoromethyl enaminone ligands upon coordination to copper(II)

Nicolas Chopin , Maurice Médebielle , Olivier Maury , Ghénadie Novitchi , Guillaume Pilet

European Journal of Inorganic Chemistry, 2014, 2014 (36), pp.6185-6195. ⟨10.1002/ejic.201402714⟩

Article dans une revue istex hal-01485222v1

Trifluoromethyl-derived enaminones and their difluoroboron complexes: Synthesis, crystal structure and electrochemistryproperties

Nicolas Chopin , Guillaume Pilet , Yasushi Morita , Maurice Medebielle

Journal of Fluorine Chemistry, 2014, 167, pp.211-225

Article dans une revue hal-01147637v1
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Expectation Propagation for Likelihood-Free Inference

Simon Barthelme , Nicolas Chopin

Journal of the American Statistical Association, 2014, 109 (505), pp.315-333. ⟨10.1080/01621459.2013.864178⟩

Article dans une revue hal-02403286v1

SMC 2 : an efficient algorithm for sequential analysis of state space models

Nicolas Chopin , P. Jacob , O. Papaspiliopoulos

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2013, 75 (3), pp.397-426. ⟨10.1111/j.1467-9868.2012.01046.x⟩

Article dans une revue hal-02403291v1

Sequential Monte Carlo on large binary sampling spaces

Christian Schäfer , Nicolas Chopin

Statistics and Computing, 2013, 23 (2), pp.163-184. ⟨10.1007/s11222-011-9299-z⟩

Article dans une revue hal-02403302v1

In praise of the referee

Nicolas Chopin , Andrew Gelman , Kerrie L. Mengersen , Christian Robert

ISBA Bulletin, 2013, 20 (1), pp.13-19

Article dans une revue hal-00704798v1

Bayesian Learning of Noisy Markov Decision Processes

Sumeetpal Singh , Nicolas Chopin , Nick Whiteley

ACM Transactions on Modeling and Computer Simulation, 2013, 23 (1), pp.1-25. ⟨10.1145/2414416.2414420⟩

Article dans une revue hal-02403299v1

Computational aspects of Bayesian spectral density estimation

Nicolas Chopin , J. Rousseau , Brunero Liseo

Journal of Computational and Graphical Statistics, 2013, 22 (3), pp.533-557. ⟨10.1080/10618600.2013.785293⟩

Article dans une revue hal-01026131v1

Regioselective bromination of tetronic acid-derived c-lactones and metal-catalyzed post-functionalization: an efficient access to new c-ylidenetetronate derivatives

Shinya Likawa , Nicolas Chopin , Guillaume Pilet , J.-P. Bouillon , Maurice Médebielle

Tetrahedron Letters, 2013, pp.4577-4581. ⟨10.1016/j.tetlet.2013.06.106⟩

Article dans une revue istex hal-01015236v1

8-Aminoquinoline and 2-aminopyridine trifluoromethyl-derived enaminone ligands and their Co(II), Ni(II) and Zn(II) metal complexes: Structural arrangements due to F⋯H interactions

Nicolas Chopin , Maurice F Médebielle , Guillaume Pilet

Journal of Fluorine Chemistry, 2013, 155, pp.89-96. ⟨10.1016/j.jfluchem.2013.06.009⟩

Article dans une revue hal-02909146v1
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Bayesian nonparametric estimation of the spectral density of a long or intermediate memory Gaussian process

Judith Rousseau , Nicolas Chopin , Brunero Liseo

Annals of Statistics, 2012, 40 (2), pp.964-995. ⟨10.1214/11-AOS955SUPP⟩

Article dans une revue hal-00504969v1

Copper(II) cubane complexes built from electro- and photosensitive β-aminovinyl trifluoromethyl ketone ligands

Nicolas Chopin , Guillaume Chastanet , Boris Le Guennic , Maurice Médebielle , Guillaume Pilet

European Journal of Inorganic Chemistry, 2012, 31, pp.5058-5070. ⟨10.1002/ejic.201200737⟩

Article dans une revue istex hal-00745802v1

P.1.g.012 Eye movements during an image comparison task can be used to characterise the cognitive deficits associated with psychiatric pathologies

N. Jaafari , N.L. Lafay , N. Chopin , F. Rigalleau , N. Vibert

European Neuropsychopharmacology, 2012, 22, pp.S211. ⟨10.1016/S0924-977X(12)70308-5⟩

Article dans une revue istex hal-02396492v1

Bidentate and Tetradentate β-Aminovinyl Trifluoromethylated Ketones and Their Copper(II) Complexes: Synthesis, Characterization and Redox Chemistry

Nicolas Chopin , Maurice Médebielle , Guillaume Pilet

European Journal of Inorganic Chemistry, 2012, 2012 (7), pp.1093-1103. ⟨10.1002/ejic.201101385⟩

Article dans une revue istex hal-02907102v1

Free Energy Methods for Bayesian Inference: Efficient Exploration of Univariate Gaussian Mixture Posteriors

Nicolas Chopin , Tony Lelièvre , Gabriel Stoltz

Statistics and Computing, 2012, 22 (4), pp.897-916. ⟨10.1007/s11222-011-9257-9⟩

Article dans une revue hal-00460914v1

Stability of Feynman–Kac formulae with path-dependent potentials

Nicolas Chopin , P. del Moral , S. Rubenthaler

Stochastic Processes and their Applications, 2011, 121 (1), pp.38-60. ⟨10.1016/j.spa.2010.08.012⟩

Article dans une revue hal-02403312v1

ClickEnam. 1. Synthesis of novel 1,4-disubsituted-[1,2,3]-triazole-derived β-aminovinyl trifluoromethylated ketones and their copper(II) complexes

Nicolas Chopin , Sophie Decamps , Aude Gouger , Maurice Médebielle , Stéphane Picot et al.

Journal of Fluorine Chemistry, 2011, 132 (10), pp.850-857. ⟨10.1016/j.jfluchem.2011.05.011⟩

Article dans une revue istex hal-02907163v1

Stability of Feynman-Kac formulae with path-dependent potentials

Pierre del Moral , Sylvain Rubenthaler , Nicolas Chopin

Stochastic Processes and their Applications, 2011, 121 (1), pp.38-60. ⟨10.1016/j.spa.2010.08.012⟩

Article dans une revue inria-00533438v1
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Fast simulation of truncated Gaussian distributions

Nicolas Chopin

Statistics and Computing, 2010, 21, pp.275-288. ⟨10.1007/s11222-009-9168-1⟩

Article dans une revue hal-02403310v1
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Properties of nested sampling

Nicolas Chopin , Cédric Robert Robert

Biometrika, 2010, 97 (3), pp.741-755. ⟨10.1093/biomet/asq021⟩

Article dans une revue hal-02403316v1

Harold Jeffreys' Theory of Probability revisited

Nicolas Chopin , Christian Robert , Judith Rousseau

Statistical Science, 2009, 24 (2), pp.141-172. ⟨10.1214/09-STS284⟩

Article dans une revue hal-00274631v1

Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

Havard Rue , Sara Martino , Nicolas Chopin

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2009, 71 (2), pp.319-392. ⟨10.1111/j.1467-9868.2008.00700.x⟩

Article dans une revue hal-02403320v1

Jim Albert: Bayesian computation with R

Nicolas Chopin

Statistics and Computing, 2009, 19 (1), pp.111-112. ⟨10.1007/s11222-008-9069-8⟩

Article dans une revue istex hal-02403323v1

Harold Jeffreys' Theory of Probability revisited: a reply

Christian Robert , Nicolas Chopin , Judith Rousseau

Statistical Science, 2009, 24 (2), pp.191-194. ⟨10.1214/09-STS284REJ⟩

Article dans une revue hal-00415936v1

On the equivalence between standard and sequentially ordered hidden Markov models

Nicolas Chopin

Statistics and Probability Letters, 2008, 78 (14), pp.2171-2174. ⟨10.1016/j.spl.2008.02.010⟩

Article dans une revue hal-02403326v1

Particle filtering for continuous-time hidden Markov models

Nicolas Chopin , Elisa Varini

ESAIM: Proceedings, 2007, 19, pp.12-17. ⟨10.1051/proc:071903⟩

Article dans une revue hal-02403332v1

Inference and model choice for sequentially ordered hidden Markov models

Nicolas Chopin

Journal of the Royal Statistical Society: Series B, 2007, 69 (2), pp.269-284. ⟨10.1111/j.1467-9868.2007.00588.x⟩

Article dans une revue istex hal-02403330v1

Dynamic Detection of Change Points in Long Time Series

Nicolas Chopin

Annals of the Institute of Statistical Mathematics, 2007, 59 (2), pp.349-366. ⟨10.1007/s10463-006-0053-9⟩

Article dans une revue istex hal-02403329v1

Central limit theorem for sequential Monte Carlo methods and its application to Bayesian inference

Nicolas Chopin

Annals of Statistics, 2004, 32 (6), pp.2385-2411. ⟨10.1214/009053604000000698⟩

Article dans une revue hal-02403337v1

A sequential particle filter method for static models

Nicolas Chopin

Biometrika, 2002, 89 (3), pp.539-552. ⟨10.1093/biomet/89.3.539⟩

Article dans une revue hal-02403335v1

Least squares variational inference

Yvann Le Fay , Nicolas Chopin , Simon Barthelme

NeurIPS, Dec 2025, San Diego (CA), United States. 2025

Proceedings/Recueil des communications hal-05414730v1

A connection between Tempering and Entropic Mirror Descent

Nicolas Chopin , Anna Korba , Francesca R. Crucinio

International Conference on Machine Learning, }, 2024

Proceedings/Recueil des communications hal-04793495v1

Computational Doob h-transforms for online filtering of discretely observed diffusions

Nicolas Chopin , Andras Fulop , Jeremy Heng , Alexandre H Thiéry

ICML, Proceedings of the 40th International Conference on Machine Learning, 2023

Proceedings/Recueil des communications hal-04793536v1

PAC-Bayesian offline contextual bandits with guarantees

Nicolas Chopin , Pierre Alquier , Otmane Sakhi

ICML, 2023

Proceedings/Recueil des communications hal-04793521v1

ABC-EP: Expectation Propagation for likelihood-free Bayesian computation

Nicolas Chopin , Simon Labarthe

28th International Conference on Machine Learning (ICML-11), Nov 2011, Bellevue, Washington, United States. 2012

Proceedings/Recueil des communications hal-05414802v1

New lanthanide compounds and perspectives for near-infrared optical imaging: Small molecules, macromolecules and MOF nanomaterials

S. Petoud , S.V. Eliseeva , G. Collet , I. Martinic , J.C. Lutter et al.

Terrae Rarae 2019 - XXIX. Tage der Seltenen Erden, May 2019, Stockholm, Sweden

Communication dans un congrès hal-03326126v1

Near-infrared emitting lanthanide probes for optical imaging agents with different sizes: small molecules, metallacrowns and MOF nanomaterials

S. Petoud , S.V. Eliseeva , G. Collet , I. Martinic , J.C. Lutter et al.

ICBIC 2019 - 19th International Conference on Biological Inorganic Chemistry, Aug 2019, Interlaken, Switzerland

Communication dans un congrès hal-03326116v1

Genomic Alterations and Radioresistance in Breast Cancer: An Analysis of the Profiler Protocol

A. Vallard , E. Bernichon , Q. Wang , Valéry Attignon , Daniel Pissaloux et al.

ASTRO Meeting, Sep 2017, San Diego, United States. pp.S52, ⟨10.1016/j.ijrobp.2017.06.132⟩

Communication dans un congrès hal-01610147v1

Modelling dependency completion in sentence comprehension as a Bayesian hierarchical mixture process: A case study involving Chinese relative clauses

Shravan Vasishth , Nicolas Chopin , Robin Ryder , Bruno Nicenboim

Cognitive Science Conference, 2017, London, United Kingdom

Communication dans un congrès hal-01523575v1

Synthesis of fluorinated mixed aminoquinoline gamma-lactams - Biological evaluation as possible anti-malarial agents

Oleksandr S. Kanishchev , Nicolas Chopin , Shinya Iikawa , Anne-Lise Bienvenu , Stéphane Picot et al.

French-Czech Vltava Chemistry Meeting (7, 2016), Sep 2016, Orléans, France. 31 diapositives

Communication dans un congrès hal-02799211v1

Récents développements pour la recherche de nouvelles molécules antipaludiques : hétérocycles azotés dérivés d’acides tétramiques et de pyrimidines

Maurice Médebielle , Nicolas Chopin , Shinya Iikawa , Claude-Bernard Paultre , Benoît Joseph et al.

6. Journées du Consortium antiParasitaire et antiFongique : CaPF-2016 " A la croisée des Mondes !", Consortium Anti-Parasitaire et Fongique (CaPF). FRA., Mar 2016, Tours, France. 49 p

Communication dans un congrès hal-02742433v1

Hétérocycles azotés dérivés d’acides tétramiques et de pyrimidines comme nouveaux agents anti-infectieux : activité antipaludique et anti-pneumocystose

Maurice Médebielle , Nicolas Chopin , Shinya Iikawa , Claude-Bernard Paultre , Benoît Joseph et al.

5. Journée Rhône-Alpes des Biomolécules (JRAB 2016), Centre National de la Recherche Scientifique (CNRS). FRA., Jun 2016, Lyon Villeurbanne, France

Communication dans un congrès hal-02743599v1
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Application of sequential Quasi-Monte Carlo to autonomous positioning

Nicolas Chopin , Mathieu Gerber

2015 23rd European Signal Processing Conference (EUSIPCO), Aug 2015, Nice, France. pp.489-493, ⟨10.1109/EUSIPCO.2015.7362431⟩

Communication dans un congrès hal-02391249v1
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PAC-Bayesian AUC classification and scoring

Nicolas Chopin , Pierre Alquier , James Ridgway

Advances in neural information processing systems, Dec 2014, Montréal, Canada

Communication dans un congrès hal-04793393v1

Divide and conquer in ABC: expectation-propagation algorithms for likelihood-free inference.

Simon Barthelme , Nicolas Chopin , Vincent Cottet

Chapman & Hall. Handbook of approximate Bayesian computation, Chapman & Hall/CRC Handb. Mod. Stat. Methods. CRC Press, Boca Raton, FL, 2019, pp. 415–434., Chapman & Hall/CRC Handb. Mod. Stat. Methods. CRC Press, Boca Raton, FL, 2019, pp. 415-434, 2019, eISBN : 9781315117195, ISSN hardback : 9781439881507, ISSN paperback : 9780367733728

Chapitre d'ouvrage hal-04793437v1

Sequential Monte Carlo Methods in Random Intercept Models for Longitudinal Data

Danilo Alvares , Carmen Armero , Anabel Forte , Nicolas Chopin

Bayesian Statistics in Action, 194, Springer International Publishing, pp.3-9, 2017, Springer Proceedings in Mathematics & Statistics, ⟨10.1007/978-3-319-54084-9_1⟩

Chapitre d'ouvrage hal-04793481v1

Sequential quasi-Monte Carlo: Introduction for Non-Experts, Dimension Reduction, Application to Partly Observed Diffusion Processes

Nicolas Chopin , Mathieu Gerber

Monte Carlo and quasi--Monte Carlo methods, 2017

Chapitre d'ouvrage hal-05414750v1

Van der Corput and Golden Ratio Sequences Along the Hilbert Space-Filling Curve

Colas Schretter , Zhijian He , Mathieu Gerber , Nicolas Chopin , Harald Niederreiter

Monte Carlo and Quasi-Monte Carlo Methods, pp.531-544, 2016, ⟨10.1007/978-3-319-33507-0_28⟩

Chapitre d'ouvrage hal-02391228v1

Free Energy Sequential Monte Carlo, Application to Mixture Modelling

Nicolas Chopin , Pierre Jacob

Bayesian Statistics 9, Oxford University Press, pp.91-118, 2011, ⟨10.1093/acprof:oso/9780199694587.003.0003⟩

Chapitre d'ouvrage hal-05414798v1