Phantom-Powered Nested Sampling
Published in arXiv (Cornell University) • Dec 18, 2023
NobleIDNI8P64W69R29S59
Authors:
Joshua G. Albert
Abstract
We introduce a novel technique within the Nested Sampling framework to enhance efficiency of the computation of Bayesian evidence, a critical component in scientific data analysis. In higher dimensions, Nested Sampling relies on Markov Chain-based likelihood-constrained prior samplers, which generat...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!