Approximate Bayesian Computation for Forward Modeling in Cosmology

v1v2v3 (latest)

Approximate Bayesian Computation for Forward Modeling in Cosmology

27 April 2015

Alexandre Réfrégier

Sebastian Seehars

ArXiv (abs)PDF HTML

Papers citing "Approximate Bayesian Computation for Forward Modeling in Cosmology"

13 / 13 papers shown

Title
Likelihood-Free Inference and Hierarchical Data Assimilation for Geological Carbon Storage Wenchao Teng Louis J. Durlofsky 56 0 0 20 Oct 2024
Discovering governing equation in structural dynamics from acceleration-only measurements Calvin Alvares Souvik Chakraborty 76 0 0 18 Jul 2024
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up Isidro Gómez-Vargas J. A. Vázquez BDL 128 3 0 06 May 2024
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference Ayush Bharti Masha Naslidnyk Oscar Key Samuel Kaski F. Briol 131 15 0 27 Jan 2023
Approximate Bayesian Computation with Domain Expert in the Loop Ayush Bharti Louis Filstroff Samuel Kaski TPM 133 9 0 28 Jan 2022
Fast and Credible Likelihood-Free Cosmology with Truncated Marginal Neural Ratio Estimation A. Cole Benjamin Kurt Miller S. Witte Maxwell X. Cai M. Grootes F. Nattino Christoph Weniger 76 42 0 15 Nov 2021
Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes D. Warne Thomas P. Prescott Ruth Baker Matthew J. Simpson 67 16 0 26 Oct 2021
Hybrid analytic and machine-learned baryonic property insertion into galactic dark matter haloes Ben Moews R. Davé Sourav Mitra Sultan Hassan W. Cui AI4CE 134 7 0 10 Dec 2020
Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale A. G. Baydin Lei Shao W. Bhimji Lukas Heinrich Lawrence Meadows ... Philip Torr Victor W. Lee Kyle Cranmer P. Prabhat Frank Wood 80 58 0 08 Jul 2019
Gaussbock: Fast parallel-iterative cosmological parameter estimation with Bayesian nonparametrics Ben Moews J. Zuntz 45 2 0 23 May 2019
Machine Learning Accelerated Likelihood-Free Event Reconstruction in Dark Matter Direct Detection U. Simola B. Pelssers D. Barge J. Conrad J. Corander 144 11 0 23 Oct 2018
Bootstrapped synthetic likelihood R. Everitt 231 14 0 15 Nov 2017
Accelerating Approximate Bayesian Computation with Quantile Regression: Application to Cosmological Redshift Distributions T. Kacprzak J. Herbel A. Amara Alexandre Réfrégier 136 26 0 24 Jul 2017