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Published in 2021 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2021.1881523
Abstract: Abstract We present a Gibbs sampler for the Dempster–Shafer (DS) approach to statistical inference for categorical distributions. The DS framework extends the Bayesian approach, allows in particular the use of partial prior information, and yields…
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Keywords:
random convex;
gibbs sampler;
convex polytopes;
class random ... See more keywords
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1
Published in 2021 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2021.1945458
Abstract: We are very grateful to all commenters for their stimulating remarks, questions, as well as useful pointers to the literature which span a wide range of statistical methods over decades of research. We have neither…
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Keywords:
random convex;
gibbs sampler;
sampler class;
convex polytopes ... See more keywords
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Published in 2020 at "International Journal of Distributed Sensor Networks"
DOI: 10.1177/1550147720929620
Abstract: In various applications of satellite navigation and positioning, it is a key topic to select suitable satellites for positioning solutions to reduce the computational burden of the receiver in satellite selection system. Moreover, in order…
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Keywords:
satellite;
selection algorithm;
gibbs sampler;
satellite selection ... See more keywords
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Published in 2021 at "Malaria Journal"
DOI: 10.1186/s12936-021-03841-9
Abstract: Background Malaria patients can have two or more haplotypes in their blood sample making it challenging to identify which haplotypes they carry. In addition, there are challenges in measuring the type and frequency of resistant…
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Keywords:
sampler;
blood samples;
gibbs sampler;
moi ... See more keywords
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1
Published in 2021 at "Statistical Science"
DOI: 10.1214/20-sts788
Abstract: Gibbs sampling is a widely popular Markov chain Monte Carlo algorithm that can be used to analyze intractable posterior distributions associated with Bayesian hierarchical models. There are two standard versions of the Gibbs sampler: The…
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Keywords:
gibbs sampler;
hybrid scan;
scan gibbs;
latent variables ... See more keywords
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Published in 2017 at "Bernoulli"
DOI: 10.3150/15-bej758
Abstract: We establish results for the rate of convergence in total variation of a particular Gibbs sampler to its equilibrium distribution. This sampler is for a Bayesian inference model for a gamma random variable, whose only…
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Keywords:
sampler;
gibbs sampler;
convergence rates;
rates hierarchical ... See more keywords