Robert, Christian P.
- Approximate Bayesian Computational methods
2011/01/05 by Marin, Jean-Michel, Pudlo, Pierre, Robert, Christian P. +1 · 12 citations
#Computation (stat.CO) #FOS: Computer and information sciences
- The Metropolis-Hastings algorithm
2015/04/08 by Christian P. Robert, Robert, Christian P. · 5 citations
Computer Science · #Data Analysis with R
- Adaptive Multiple Importance Sampling
2009/07/07 by Cornuet, Jean-Marie, Marin, Jean-Michel, Mira, Antonietta +1 · 4 citations
#Applications (stat.AP) #Computation (stat.CO) #FOS: Computer and information sciences
- Accelerating Metropolis-Hastings algorithms by Delayed Acceptance
2015/03/03 by Banterle, Marco, Grazian, Clara, Lee, Anthony +1 · 3 citations
#Computation (stat.CO) #FOS: Computer and information sciences
- Better together? Statistical learning in models made of modules
2017/08/29 by Pierre Jacob, Jacob, Pierre E., Lawrence M. Murray +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
- 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
- Computing Bayes: Bayesian Computation from 1763 to the 21st Century
2020/04/14 by Martin, Gael M., Frazier, David T., Robert, Christian P. · 2 citations
#Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME)
- Rao-Blackwellization in the MCMC era
2021/01/04 by Robert, Christian P., Roberts, Gareth O. · 2 citations
#Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Statistics Theory (math.ST)
- 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
- Testing hypotheses via a mixture estimation model
2014/12/05 by Kamary, Kaniav, Mengersen, Kerrie, Robert, Christian P. +1 · 1 citation
#FOS: Computer and information sciences #Methodology (stat.ME)
- 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
- 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
- Computational Solutions for Bayesian Inference in Mixture Models
2018/12/18 by Celeux, Gilles, Kamary, Kaniav, Malsiner-Walli, Gertraud +2 · 1 citation
#Computation (stat.CO) #FOS: Computer and information sciences
- Component-wise approximate Bayesian computation via Gibbs-like steps
2019/05/31 by Grégoire Clarté, Clarté, Grégoire, Christian P. Robert +5 · 1 citation
Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Generative Adversarial Networks and Image Synthesis #Gaussian Processes and Bayesian Inference
- Markov Chain Monte Carlo Methods, a survey with some frequent misunderstandings
2020/01/17 by Robert, Christian P., Changye, Wu · 1 citation
#Computation (stat.CO) #FOS: Computer and information sciences
- Evidence estimation in finite and infinite mixture models and applications
2022/05/11 by Hairault, Adrien, Robert, Christian P., Rousseau, Judith · 1 citation
#Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Statistics Theory (math.ST)
- Insufficient Gibbs Sampling
2023/07/27 by Luciano, Antoine, Robert, Christian P., Ryder, Robin J. · 1 citation
#Computation (stat.CO) #FOS: Computer and information sciences #Methodology (stat.ME)
- Generalized Bayesian deep reinforcement learning
2024/12/16 by S. Roy, Shreya Sinha Roy, Roy, Shreya Sinha +6 · 1 voice · 2 citations
Computer Science · #Reinforcement Learning in Robotics #cs.LG #stat.ME #stat.ML
- On parameter estimation with the Wasserstein distance
2017/01/18 by Espen Bernton, Bernton, Espen, Pierre Jacob +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)
- 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