Nested Sampling: A Case Study in Parameter Estimation

<p id="p1">Nested Sampling (NS) is a powerful Bayesian inference algorithm that can be used to estimate parameter posteriors and marginal likelihoods for complex models. It is a sequential algorithm that works by iteratively removing low-likelihood regions of the parameter space while keeping track...

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Bibliographic Details
Main Author: Keskin, Fesih
Format: Book Chapter
Language:English
Published: IntechOpen 2023
Subjects:
Online Access:https://www.intechopen.com/chapters/1171884
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