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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… 
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Papers overview

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2016
2016
An efficient methodology for soft error analysis of sequential circuits based on Monte Carlo sampling is proposed. It uses nested… 
2015
2015
Big data presents critical requirements for security in data collection and transmission of selected data through a communication… 
2015
2015
Studying the interactions between the trees and the soil macrofauna would provide an insight into the activities and functions… 
2012
2012
We present BayeSED, a general purpose tool for Bayesian analysis of spectral energy distributions (SEDs) using pre-existing model… 
2010
2010
Characterizing, modeling, and monitoring the distribution and condition of the Earth’s biodiversity and ecosystems has a long… 
2008
2008
We investigated the genetic structure of Eryngium alpinum (Apiaceae) in an Alpine valley where the plant occurs in patches of… 
2006
2006
The approximation of marginal densities is central to the Bayesian approach to testing of hypotheses since ratios m1(x)/m2(x) of… 
2001
2001
We examined the adaptive importance of RAPD variation in the population genetic structure of wild barley, Hordeum spontaneum. The… 
Highly Cited
1995
Highly Cited
1995
As interest in quantitative analysis of joint uncertainty and interindividual variability (JUV) in risk grows, so does the need…