ABC random forests for Bayesian parameter inference

ABC random forests for Bayesian parameter inference

18 May 2016

Jean-Michel Marin

Christian P. Robert

Papers citing "ABC random forests for Bayesian parameter inference"

12 / 12 papers shown

Title
Deep Generative Quantile Bayes Jungeum Kim Percy S. Zhai Veronika Rockova 51 0 0 10 Oct 2024
Copula Approximate Bayesian Computation Using Distribution Random Forests G. Karabatsos 44 1 0 28 Feb 2024
A Bayesian Optimization approach for calibrating large-scale activity-based transport models S. Agriesti Vladimir Kuzmanovski Jaakko Hollmén C. Roncoli Bat-hen Nahmias-Biran 29 5 0 07 Feb 2023
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 104 186 0 12 Jan 2021
Assessment and adjustment of approximate inference algorithms using the law of total variance Xue Yu David J. Nott Minh-Ngoc Tran Nadja Klein 16 15 0 20 Nov 2019
Marginally-calibrated deep distributional regression Nadja Klein David J. Nott M. Smith UQCV 37 14 0 26 Aug 2019
Likelihood-free approximate Gibbs sampling G. S. Rodrigues David J. Nott Scott A. Sisson 30 24 0 11 Jun 2019
Component-wise approximate Bayesian computation via Gibbs-like steps Grégoire Clarté Christian P. Robert Robin J. Ryder Julien Stoehr 13 30 0 31 May 2019
Spectral Density-Based and Measure-Preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs E. Buckwar M. Tamborrino I. Tubikanec 21 36 0 04 Mar 2019
ABC-CDE: Towards Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations Rafael Izbicki Ann B. Lee T. Pospisil 44 34 0 14 May 2018
Likelihood-free inference by ratio estimation Owen Thomas Ritabrata Dutta J. Corander Samuel Kaski Michael U. Gutmann 42 145 0 30 Nov 2016
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R Marvin N. Wright A. Ziegler 113 2,741 0 18 Aug 2015