Nested sampling algorithm

Known as: Nested sampling 
The nested sampling algorithm is a computational approach to the problem of comparing models in Bayesian statistics, developed in 2004 by physicist… (More)
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Topic mentions per year

1989-2017
05101519892017

Papers overview

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2015
2015
This paper considers the problem of compressively sampling wide sense stationary random vectors with a low rank Toeplitz… (More)
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2015
2015
The speed-up in program running time is investigated for problems of parameter estimation with nested sampling Monte Carlo… (More)
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2014
2014
a r t i c l e i n f o a b s t r a c t A Hybrid Nested Sampling (HNS) algorithm is proposed for efficient Bayesian model… (More)
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2013
2013
In this paper we report our work on the parallelisation of a Nested Sampling Monte Carlo algorithm used in the nuclear physics… (More)
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2013
2013
This article addresses the spectrum efficiency study of nested sparse sampling and coprime sampling in the estimation of power… (More)
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2009
2009
SUMMARY Nested sampling is a simulation method for approximating marginal likelihoods proposed by Skilling (2006). We establish… (More)
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2007
2007
The ingredients to a Bayesian analysis comprise the sampling model {Pθ : θ ∈ Ω} for the response X, the prior Π for the parameter… (More)
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2006
2006
The abundance of cosmological data becoming available means that a wider range of cosmological models are testable than ever… (More)
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Highly Cited
2006
Highly Cited
2006
Nested sampling estimates directly how the likelihood function relates to prior mass. The evidence (alternatively the marginal… (More)
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2005
2005
Nested sampling is a new Monte Carlo method by Skilling [1] intended for general Bayesian computation. Nested sampling provides a… (More)
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