Model Selection and Parameter Inference in Phylogenetics Using Nested Sampling
Sign Up to like & getrecommendations! Published in 2019 at "Systematic Biology"
DOI: 10.1093/sysbio/syy050
Abstract: &NA; Bayesian inference methods rely on numerical algorithms for both model selection and parameter inference. In general, these algorithms require a high computational effort to yield reliable estimates. One of the major challenges in phylogenetics… read more here.
Keywords: parameter inference; model selection; selection parameter; nested sampling ... See more keywords
Nested Sampling for Frequentist Computation: Fast Estimation of Small p-Values.
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DOI: 10.1103/physrevlett.128.021801
Abstract: We propose a novel method for computing p-values based on nested sampling (NS) applied to the sampling space rather than the parameter space of the problem, in contrast to its usage in Bayesian computation. The… read more here.
Keywords: nested sampling; fast estimation; sampling frequentist; computation ... See more keywords
Assessing Search and Unsupervised Clustering Algorithms in Nested Sampling
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DOI: 10.3390/e25020347
Abstract: Nested sampling is an efficient method for calculating Bayesian evidence in data analysis and partition functions of potential energies. It is based on an exploration using a dynamical set of sampling points that evolves to… read more here.
Keywords: unsupervised clustering; nested sampling; clustering algorithms; assessing search ... See more keywords