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Published in 2020 at "TEST"
DOI: 10.1007/s11749-020-00717-z
Abstract: Selecting a statistical model from a set of competing models is a central issue in the scientific task, and the Bayesian approach to model selection is based on the posterior model distribution, a quantification of…
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Keywords:
bayesian model;
poisson negative;
poisson;
model ... See more keywords
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Published in 2017 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2016.1235168
Abstract: ABSTRAC This paper considers the multiple comparisons problem for normal variances. We propose a solution based on a Bayesian model selection procedure to this problem in which no subjective input is considered. We construct the…
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Keywords:
multiple comparisons;
comparisons normal;
normal variances;
bayesian multiple ... See more keywords
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Published in 2019 at "Scandinavian Actuarial Journal"
DOI: 10.1080/03461238.2019.1584912
Abstract: ABSTRACT The Tweedie family, which is classified by the choice of power unit variance function, includes heavy tailed distributions, and as such could be of significant relevance to actuarial science. The class includes the Normal,…
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Keywords:
mean;
intrinsic objective;
family;
tweedie family ... See more keywords
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Published in 2018 at "Journal of Cosmology and Astroparticle Physics"
DOI: 10.1088/1475-7516/2018/04/047
Abstract: Given the precision of current neutrino data, priors still impact noticeably the constraints on neutrino masses and their hierarchy. To avoid our understanding of neutrinos being driven by prior assumptions, we construct a prior that…
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Keywords:
analysis neutrino;
bayesian analysis;
neutrino;
neutrino masses ... See more keywords
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Published in 2022 at "Frontiers in Medicine"
DOI: 10.3389/fmed.2022.916481
Abstract: The pursuit of potential inhibitors for novel targets has become a very important problem especially over the last 2 years with the world in the midst of the COVID-19 pandemic. This entails performing high throughput…
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Keywords:
bayesian optimization;
multi objective;
objective bayesian;
drug ... See more keywords