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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| Format: | Book Chapter |
| Language: | English |
| Published: |
IntechOpen
2023
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| Online Access: | https://www.intechopen.com/chapters/1171884 |
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