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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...

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