Christian P. Robert

1. Approximate Bayesian computational methods
   2011/10/20 by Jean-Michel Marin, Jean‐Michel Marin, Pierre Pudlo +3 · 27 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods
2. Expectation propagation as a way of life: A framework for Bayesian inference on partitioned data
   2014/12/16 by Aki Vehtari, Vehtari, Aki, Andrew Gelman +17 · 5 citations
   Computer Science · #Gaussian Processes and Bayesian Inference #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference
3. The Metropolis-Hastings algorithm
   2015/04/08 by Christian P. Robert, Robert, Christian P. · 5 citations
   Computer Science · #Data Analysis with R
4. Better together? Statistical learning in models made of modules
   2017/08/29 by Pierre Jacob, Lawrence M. Murray, Jacob, Pierre E. +5 · 4 citations
   Computer Science · Mathematics · #Data Analysis with R #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Methodology (stat.ME) #Statistical Methods and Bayesian Inference
5. Bayesian computation for statistical models with intractable normalizing constants
   2008/04/21 by Yves F. Atchadé, Nicolas Lartillot, Atchade, Yves +3 · 2 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistical Methods and Bayesian Inference
6. A Bayesian reassessment of nearest-neighbour classification
   2008/02/10 by Lionel Cucala, Jean‐Michel Marin, Cucala, Lionel +5 · 1 citation
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Anomaly Detection Techniques and Applications #Statistical Methods and Inference
7. Improved Lasso for genomic selection
   2010/12/14 by Andrés Legarra, ANDRÉS LEGARRA, Christian P. Robert +7 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Agricultural and Biological Sciences · #Genetic and phenotypic traits in livestock #Genetic Mapping and Diversity in Plants and Animals #Ruminant Nutrition and Digestive Physiology
8. Reliable ABC model choice via random forests
   2014/06/24 by Pierre Pudlo, Pudlo, Pierre, Jean‐Michel Marin +9 · 1 citation
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Populations and Evolution (q-bio.PE) #Statistical Methods and Bayesian Inference
9. The expected demise of the Bayes factor
   2015/06/27 by Christian P. Robert, Robert, Christian P. · 1 citation
   Mathematics · #Advanced Statistical Methods and Models #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Inference #Statistical and numerical algorithms
10. Model Selection for Mixture Models - Perspectives and Strategies
    2018/12/24 by Gilles Celeux, Celeux, Gilles, Christian P. Robert +2 · 1 citation
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Statistical Methods and Bayesian Inference #Census and Population Estimation
11. Component-wise approximate Bayesian computation via Gibbs-like steps
    2019/05/31 by Grégoire Clarté, Christian P. Robert, Clarté, Grégoire +5 · 1 citation
    Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Generative Adversarial Networks and Image Synthesis #Gaussian Processes and Bayesian Inference
12. Approximating the Likelihood in Approximate Bayesian Computation
    2018/03/18 by Christopher Drovandi, Drovandi, Christopher C, Clara Grazian +5 · 1 citation
    Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Bayesian Methods and Mixture Models #Statistical Methods and Inference
13. Generalized Bayesian deep reinforcement learning
    2024/12/16 by Shreya Sinha Roy, S. Roy, Richard G. Everitt +6 · 1 voice · 2 citations
    Computer Science · #Reinforcement Learning in Robotics #cs.LG #stat.ME #stat.ML
14. On parameter estimation with the Wasserstein distance
    2017/01/18 by Espen Bernton, Pierre Jacob, Bernton, Espen +5 · 1 citation
    Computer Science · Mathematics · Physics and Astronomy · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistical Mechanics and Entropy #Statistics Theory (math.ST)
15. Accelerating Metropolis-Hastings algorithms: Delayed acceptance with prefetching
    2014/06/10 by Marco Banterle, Clara Grazian, Banterle, Marco +3 · 1 citation
    Mathematics · Physics and Astronomy · #Computation (stat.CO) #FOS: Computer and information sciences #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Stochastic processes and statistical mechanics #Theoretical and Computational Physics