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Reference priors for the general location-scale modelm [PDF]
Statistics & Probability Letters, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fernández, C., Steel, M.F.J.
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The Prior Can Often Only Be Understood in the Context of the Likelihood
Entropy, 2017 A key sticking point of Bayesian analysis is the choice of prior distribution, and there is a vast literature on potential defaults including uniform priors, Jeffreys’ priors, reference priors, maximum entropy priors, and weakly informative priors. These
Andrew Gelman +2 more
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On the implementation of local probability matching priors for interest parameters [PDF]
, 2005 Probability matching priors are priors for which the posterior probabilities of certain specified sets are exactly or approximately equal to their coverage probabilities.
Sweeting, TJ, Trevor J. Sweeting
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On Default Priors for Robust Bayesian Estimation with Divergences
Entropy, 2020 This paper presents objective priors for robust Bayesian estimation against outliers based on divergences. The minimum γ-divergence estimator is well-known to work well in estimation against heavy contamination. The robust Bayesian methods by using quasi-
Tomoyuki Nakagawa, Shintaro Hashimoto
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Inferring taxonomic placement from DNA barcoding aiding in discovery of new taxa
Methods in Ecology and Evolution, 2023 Predicting the taxonomic affiliation of DNA sequences collected from biological samples is a fundamental step in biodiversity assessment. This task is performed by leveraging existing databases containing reference DNA sequences endowed with a taxonomic ...
Alessandro Zito +2 more
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Multi-Reference Shape Priors for Active Contours [PDF]
International Journal of Computer Vision, 2008 In this paper, we present a new way of constraining the evolution of an active contour with respect to a set of fixed reference shapes. This approach is based on a description of shapes by the Legendre moments computed from their characteristic function. This provides a region-based representation that can handle arbitrary shape topologies.
Foulonneau, Alban +2 more
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Mixtures of g-priors for Bayesian model averaging with economic applications [PDF]
, 2010 We examine the issue of variable selection in linear regression modeling, where we have a potentially large amount of possible covariates and economic theory offers insufficient guidance on how to select the ap- propriate subset.
Ley, Eduardo +2 more
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Objective Bayesian hypothesis testing and estimation for the intraclass model
Statistical Theory and Related Fields, 2018 The intraclass correlation coefficient (ICC) plays an important role in various fields of study as a coefficient of reliability. In this paper, we consider objective Bayesian analysis for the ICC in the context of normal linear regression model. We first
Duo Zhang +4 more
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Statistical Theory and Related Fields, 2018 The Wiener process as a degradation model plays an important role in the degradation analysis. In this paper, we propose an objective Bayesian analysis for an acceleration degradation Wiener model which is subjected to measurement errors.
Daojiang He, Yunpeng Wang, Mingxiang Cao
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Reference priors for high energy physics [PDF]
Physical Review D, 2010 Bayesian inferences in high energy physics often use uniform prior distributions for parameters about which little or no information is available before data are collected. The resulting posterior distributions are therefore sensitive to the choice of parametrization for the problem and may even be improper if this choice is not carefully considered ...
Demortier, Luc +2 more
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