Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy

6 June 2017

Papers citing "Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy"

14 / 14 papers shown

Title
The Clear Sky Corridor: Insights Towards Aerosol Formation in Exoplanets Using An AI-based Survey of Exoplanet Atmospheres Reza Ashtari Kevin B. Stevenson David Sing Mercedes Lopez-Morales Munazza K. Alam Nikolay K. Nikolov Thomas M. Evans-Soma 56 1 0 09 Oct 2024
A comparison of Bayesian sampling algorithms for high-dimensional particle physics and cosmology applications Joshua Albert Csaba Balazs A. Fowlie Will Handley Nicholas Hunt-Smith Roberto Ruiz de Austri Martin White 119 3 0 27 Sep 2024
Automatic Parallel Tempering Markov Chain Monte Carlo with Nii-C Sheng Jin Wenxin Jiang Dong-Hong Wu 144 2 0 13 Jul 2024
Liouville Flow Importance Sampler Yifeng Tian Nishant Panda Yen Ting Lin 123 13 0 03 May 2024
Estimating the Local Learning Coefficient at Scale Zach Furman Edmund Lau 67 3 0 06 Feb 2024
Isolated pulsar population synthesis with simulation-based inference V. Graber M. Ronchi C. Pardo-Araujo N. Rea 62 5 0 22 Dec 2023
Eryn : A multi-purpose sampler for Bayesian inference N. Karnesis Michael L. Katz N. Korsakova J. Gair N. Stergioulas 57 31 0 03 Mar 2023
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 69 6 0 27 Nov 2022
The No-U-Turn Sampler as a Proposal Distribution in a Sequential Monte Carlo Sampler with a Near-Optimal L-Kernel L. Devlin P. Horridge P. L. Green Simon Maskell 33 2 0 05 Aug 2021
Bayesian spectral density approach for identification and uncertainty quantification of bridge section's flutter derivatives operated in turbulent flow Xiaolei Chu W. Cui Peng Liu Lin Zhao Y. Ge 11 10 0 03 Aug 2021
Informative Bayesian model selection for RR Lyrae star classifiers Francisco Pérez-Galarce K. Pichara P. Huijse M. Catelán Domingo Mery 37 1 0 24 May 2021
dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences J. Speagle 88 1,223 0 03 Apr 2019
A Simple Algorithm for Scalable Monte Carlo Inference A. Borisenko M. Byshkin Alessandro Lomi 46 10 0 02 Jan 2019
Data analysis recipes: Using Markov Chain Monte Carlo D. Hogg D. Foreman-Mackey 68 213 0 17 Oct 2017