dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences

3 April 2019

Papers citing "dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences"

12 / 12 papers shown

Title
Diffusion-based supervised learning of generative models for efficient sampling of multimodal distributions Hoang Tran Zezhong Zhang F. Bao Dan Lu Guannan Zhang DiffM 37 0 0 20 Apr 2025
Symbolic Regression for Beyond the Standard Model Physics Shehu AbdusSalam Steve Abel M. Romão 18 5 0 28 May 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities Tara Akhound-Sadegh Jarrid Rector-Brooks A. Bose Sarthak Mittal Pablo Lemos ... Siamak Ravanbakhsh Gauthier Gidel Yoshua Bengio Nikolay Malkin Alexander Tong DiffM 32 41 0 09 Feb 2024
Improving Gradient-guided Nested Sampling for Posterior Inference Pablo Lemos Nikolay Malkin Will Handley Yoshua Bengio Y. Hezaveh Laurence Perreault Levasseur BDL 31 9 0 06 Dec 2023
Bayesian Model Selection of Lithium-Ion Battery Models via Bayesian Quadrature Masaki Adachi Yannick Kuhn Birger Horstmann Arnulf Latz Michael A. Osborne David A. Howey 24 10 0 28 Oct 2022
Uncovering dark matter density profiles in dwarf galaxies with graph neural networks Tri Nguyen S. Mishra-Sharma R. Williams L. Necib 11 2 0 26 Aug 2022
Nested sampling for physical scientists G. Ashton N. Bernstein Johannes Buchner Xi Chen Gábor Csányi ... Leah F. South J. Veitch Philipp Wacker D. Wales David Yallup 31 76 0 31 May 2022
Nested Sampling for Non-Gaussian Inference in SLAM Factor Graphs Qiangqiang Huang Alan Papalia J. Leonard 12 4 0 22 Sep 2021
Real-time gravitational-wave science with neural posterior estimation Maximilian Dax Stephen R. Green J. Gair Jakob H. Macke A. Buonanno Bernhard Schölkopf 13 130 0 23 Jun 2021
Nested Sampling Methods J. Buchner 11 59 0 24 Jan 2021
Bayesian posterior repartitioning for nested sampling Xi Chen F. Feroz Michael P. Hobson 11 2 0 13 Aug 2019
MCMC using Hamiltonian dynamics Radford M. Neal 132 3,263 0 09 Jun 2012