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Christian P. Robert

Christian P. Robert

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Mathematics
France
2026

D-Index & Metrics

Mathematics

D-Index
78
Citations
50002
World Ranking
167
National Ranking
9

Research.com Recognitions

  • 2026 - Research.com Mathematics in France Leader Award
  • 2025 - Research.com Mathematics in France Leader Award
  • 2023 - Research.com Mathematics in France Leader Award
  • 2012 - Fellow of the American Statistical Association (ASA)

Overview

Christian P. Robert is affiliated with Paris Dauphine University in France. Their research spans multiple areas within mathematics and computer science, with a particular emphasis on statistics and probability, as well as artificial intelligence.

The scientist's work covers several key research topics, including:

  • Markov Chains and Monte Carlo Methods
  • Bayesian Methods and Mixture Models
  • Gaussian Processes and Bayesian Inference
  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Stochastic processes and statistical mechanics
  • Bayesian Modeling and Causal Inference

Christian P. Robert has published extensively, with notable recent papers including:

  • "Rethinking the Effective Sample Size" (2022), published in International Statistical Review
  • "Model Misspecification in Approximate Bayesian Computation: Consequences and Diagnostics" (2020), published in Journal of the Royal Statistical Society Series B (Statistical Methodology)
  • "Componentwise approximate Bayesian computation via Gibbs-like steps" (2020), published in Biometrika
  • "Computing Bayes: Bayesian Computation from 1763 to the 21st Century" (2022), published on arXiv (Cornell University)
  • "Approximating Bayes in the 21st Century" (2023), published in Statistical Science

The scientist frequently collaborates with several co-authors, including:

  • David T. Frazier (9 joint publications)
  • Gael M. Martin (8 joint publications)
  • Judith Rousseau (5 joint publications)
  • Robin Ryder (5 joint publications)
  • Roberto Casarin (4 joint publications)

Christian P. Robert's publications appear predominantly in the following venues:

  • CHANCE (31 publications)
  • arXiv (Cornell University) (20 publications)
  • Statistical Science (4 publications)
  • Journal of the Royal Statistical Society Series B (Statistical Methodology) (3 publications)
  • HAL (Le Centre pour la Communication Scientifique Directe) (3 publications)

Their fields of study are mainly Mathematics with a focus on Statistics and Probability, alongside Computer Science, particularly Artificial Intelligence. The subfields also include Mathematical Physics and Pharmacology, reflecting a diverse range of research interests.

Christian P. Robert was recognized as a Fellow of the American Statistical Association (ASA) in 2012.

Best Publications

  • Monte Carlo Statistical Methods

    Christian P. Robert;George Casella

  • Machine Learning, a Probabilistic Perspective

    Christian Robert

  • Bayesian Modeling Using WinBUGS

    Christian Robert;Ioannis Ntzoufras

  • Monte Carlo Statistical Methods (Springer Texts in Statistics)

    Christian P. Robert;George Casella

  • Estimation of Finite Mixture Distributions Through Bayesian Sampling

    Jean Diebolt;Christian P. Robert

  • The Bayesian choice : from decision-theoretic foundations to computational implementation

    Christian P. Robert

  • The Bayesian choice

    Christian P. Robert

  • Deviance information criteria for missing data models

    G. Celeux;F. Forbes;C. P. Robert;D. M. Titterington

  • Abandon Statistical Significance

    Blakeley B. McShane;David Gal;Andrew Gelman;Christian Robert

  • Inferring population history with DIY ABC

    Jean-Marie Cornuet;Filipe Santos;Mark A. Beaumont;Christian P. Robert

  • Approximate Bayesian Computational methods

    Jean-Michel Marin;Pierre Pudlo;Christian P. Robert;Robin Ryder

  • Introducing Monte Carlo Methods with R

    Christian P. Robert;George Casella

  • Rao-Blackwellisation of sampling schemes

    George Casella;Christian P. Robert

  • Computational and inferential difficulties with mixture posterior distributions

    Gilles Celeux;Merrilee Hurn;Christian P. Robert

  • An overview of robust Bayesian analysis

    James O. Berger;Elías Moreno;Luis Raul Pericchi;M. Jesús Bayarri

  • Bayesian Modelling and Inference on Mixtures of Distributions

    Jean-Michel Marin;Kerrie Mengersen;Christian P. Robert

  • Simulation of truncated normal variables

    Christian P. Robert

  • Adaptive approximate Bayesian computation

    Mark A. Beaumont;Jean-Marie Cornuet;Jean-Michel Marin;Christian P. Robert

  • Population Monte Carlo

    Olivier Cappé;Arnaud Guillin;Jean-Michel Marin;Christian P. Robert

  • Bayesian Core A Practical Approach To Computational Bayesian Statistics

    Jean-Michel Marin;Christian Robert

  • On Bayesian analysis of mixtures with an unknown number of components. Discussion. Author's reply

    S. Richardson;P. J. Green;C. P. Robert;M. Aitkin

  • Discussion of "Sure independence screening for ultra-high dimensional feature space" by Fan and Lv.

    Christian P. Robert

  • Statistics for Spatio-Temporal Data

    Christian Robert

Frequent Co-Authors

Jean-Michel Marin
Jean-Michel Marin University of Montpellier
George Casella
George Casella University of Florida
Kerrie Mengersen
Kerrie Mengersen Queensland University of Technology
Andrew Gelman
Andrew Gelman Columbia University
Gilles Celeux
Gilles Celeux French Institute for Research in Computer Science and Automation - INRIA
Olivier Cappé
Olivier Cappé PSL University
D. M. Titterington
D. M. Titterington University of Glasgow
Arnaud Guillin
Arnaud Guillin University of Clermont Auvergne
Anne-Marie Lézine
Anne-Marie Lézine Sorbonne University
Martin T. Wells
Martin T. Wells Cornell University

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