Introducing Inner Nested Sampling

Introducing Inner Nested Sampling

In this paper we will give a Monte Carlo algorithm by which the moments of a functions of Dirichlet probability distributions can be estimated. This algorithm is called Inner Nested Sampling and is an implementation of Skilling's general Nested Sampling framework.

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Bibliographische Detailangaben
Hauptverfasser: van Erp, H. R. N, Linger, R. O, van Gelder, P. H. A. J. M
Format: Artikel
Sprache:eng
Schlagworte:
Statistics - Methodology
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Beschreibung
Zusammenfassung:In this paper we will give a Monte Carlo algorithm by which the moments of a functions of Dirichlet probability distributions can be estimated. This algorithm is called Inner Nested Sampling and is an implementation of Skilling's general Nested Sampling framework.
DOI:10.48550/arxiv.1704.02207