Results 71 to 80 of about 4,246,376 (189)
Bayes linear covariance matrix adjustment [PDF]
, 1995 In this thesis, a Bayes linear methodology for the adjustment of covariance matrices is presented and discussed. A geometric framework for quantifying uncertainties about covariance matrices is set up, and an inner-product for spaces of random matrices ...
Wilkinson, Darren James
core
Bayes Factor based speaker segmentation for speaker diarization [PDF]
, 2010 This paper proposes the use of the Bayes Factor as a distance metric for speaker segmentation within a speaker diarization system. The proposed approach uses a pair of constant sized, sliding windows to compute the value of the Bayes Factor between the ...
Vogt, Robert J. +2 more
core
The Bayes factor surface for searches for new physics
European Physical Journal C: Particles and FieldsThe Bayes factor surface is a new way to present results from experimental searches for new physics. Searches are regularly expressed in terms of phenomenological parameters – such as the mass and cross-section of a weakly interacting massive particle ...
Andrew Fowlie
doaj +1 more source
Empirical bayes estimates of development reliability for one shot devices [PDF]
, 2009 This article describes a method for estimating the reliability of a system under development that is an evolution of previous designs. We present an approach to making effective use of heritage data from similar operational systems to estimate ...
Quigley, J.L. +2 more
core +3 more sources
Bayesian Analysis for a Fractional Population Growth Model
Journal of Applied Mathematics, 2017 We implement the Bayesian statistical inversion theory to obtain the solution for an inverse problem of growth data, using a fractional population growth model.
Francisco J. Ariza-Hernandez +3 more
doaj +1 more source
, 2016 Good large sample performance is typically a minimum requirement of any model selection criterion. This article focuses on the consistency property of the Bayes factor, a commonly used model comparison tool, which has experienced a recent surge of attention in the literature. We thoroughly review existing results. As there exists such a wide variety of
Chib, Siddhartha, Kuffner, Todd A.
openaire +2 more sources
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1991 SUMMARY A general procedure for computing Bayes factors for the comparison of arbitrary models is described, based on the use of the posterior mean of the likelihood under each model rather than the usual prior mean. The use of the posterior mean has several advantages, including reduced sensitivity to variations in the prior and the ...
openaire +1 more source
Bayes Factors from Mixed Probabilities
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1978 Summary A new expression for a Bayes factor as a weighted average of conditional Bayes factors is given, resembling the familiar relation for a marginal probability as a weighted average of conditional probabilities. Interpretations are given for the three contexts of (i) the use of a non-sufficient statistic, (ii) inference for a simple
Dickey, J. M., Gunel, E.
openaire +2 more sources
AN EMPIRICAL BAYES APPROACH TO MODELING DROUGHT [PDF]
This paper illustrates an alternative approach to estimating the occurrence of drought. The empirical Bayes methodology was developed because of deficiencies in time-series and regression analysis with respect to prediction of drought. This manuscript is
Chamberlain, P.J.
core
, 2020 In 'Theoria motus corporum coelestium in sectionibus conicis solem ambientum' Gauss presents, as a theorem and with emphasis, the rule to update the ratio of probabilities of complementary hypotheses, in the light of an observed event which could be due to either of them.
openaire +2 more sources