Pierre Jacob

1. Fast Approximation of the Sliced-Wasserstein Distance Using\n Concentration of Random Projections
   2021/06/29 by Kimia Nadjahi, Nadjahi, Kimia, Alain Durmus +7 · 5 citations
   Mathematics · #Geometric Analysis and Curvature Flows
2. Better together? Statistical learning in models made of modules
   2017/08/29 by Pierre Jacob, Jacob, Pierre E., Lawrence M. Murray +5 · 5 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
3. Unbiased Smoothing using Particle Independent Metropolis-Hastings
   2019/02/05 by Lawrence Middleton, George Deligiannidis, Middleton, Lawrence +5 · 3 citations
   Mathematics · #Markov Chains and Monte Carlo Methods #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
4. Maximal couplings of the Metropolis-Hastings algorithm
   2020/10/16 by John R. O’Leary, Guanyang Wang, O'Leary, John +3 · 1 citation
   Mathematics · Physics and Astronomy · #Markov Chains and Monte Carlo Methods #Stochastic processes and statistical mechanics #Quantum chaos and dynamical systems
5. An Adaptive Interacting Wang-Landau Algorithm for Automatic Density Exploration
   2011/09/17 by Luke Bornn, Pierre Jacob, Bornn, Luke +5 · 1 citation
   Computer Science · Mathematics · #Applications (stat.AP) #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Statistical Methods and Inference
6. 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)
7. On importance sampling and independent Metropolis-Hastings with an unbounded weight function
   2024/11/14 by George Deligiannidis, Deligiannidis, George, Pierre Jacob +5 · 1 citation
   Decision Sciences · Mathematics · #Analytic Number Theory Research #FOS: Computer and information sciences #FOS: Mathematics #Mathematical Approximation and Integration #Methodology (stat.ME) #Probability and Risk Models #Statistics Theory (math.ST)