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An Objective Prior from a Scoring Rule [PDF]
Entropy, 2021 In this paper, we introduce a novel objective prior distribution levering on the connections between information, divergence and scoring rules. In particular, we do so from the starting point of convex functions representing information in density ...
Stephen G. Walker, Cristiano Villa
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Objective and subjective prior distributions for the Gompertz distribution [PDF]
Anais da Academia Brasileira de Ciências, 2018 This paper takes into account the estimation for the unknown parameters of the Gompertz distribution from the frequentist and Bayesian view points by using both objective and subjective prior distributions.
SANKU DEY, FERNANDO A. MOALA
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Geometric properties of noninformative priors based on the chi-square divergence
Frontiers in Applied Mathematics and Statistics, 2023 Recently, a noninformative prior distribution that is different from the Jeffreys prior was derived as an extension of Bernardo's reference prior based on the chi-square divergence.
Fuyuhiko Tanaka, Fuyuhiko Tanaka
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On Posterior Properties of the Two Parameter Gamma Family of Distributions
Anais da Academia Brasileira de Ciências, 2021 The gamma distribution has been extensively used in many areas of applications. In this paper, considering a Bayesian analysis we provide necessary and sufficient conditions to check whether or not improper priors lead to proper posterior distributions ...
PEDRO L. RAMOS +3 more
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Acta Scientiarum: Technology, 2022 The dynamics of organic waste decomposition in the soil can be described by nonlinear regression models, however, the theory for regression models is valid for sufficiently large samples, and in general, in small samples, these properties are unknown ...
Edilson Marcelino Silva +5 more
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Objective priors in the empirical Bayes framework [PDF]
Scandinavian Journal of Statistics, 2020 AbstractWhen dealing with Bayesian inference the choice of the prior often remains a debatable question. Empirical Bayes methods offer a data‐driven solution to this problem by estimating the prior itself from an ensemble of data. In the nonparametric case, the maximum likelihood estimate is known to overfit the data, an issue that is commonly tackled ...
Ilja Klebanov +3 more
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Object Priors for Classifying and Localizing Unseen Actions [PDF]
International Journal of Computer Vision, 2021 AbstractThis work strives for the classification and localization of human actions in videos, without the need for any labeled video training examples. Where existing work relies on transferring global attribute or object information from seen to unseen action videos, we seek to classify and spatio-temporally localize unseen actions in videos from ...
Pascal Mettes +2 more
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An objective prior error quantification for regional atmospheric inverse applications [PDF]
Biogeosciences, 2015 Assigning proper prior uncertainties for inverse modelling of CO2 is of high importance, both to regularise the otherwise ill-constrained inverse problem and to quantitatively characterise the magnitude and structure of the error between prior and "true"
P. Kountouris +9 more
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Asian Journal of Medical Sciences, 2022 Background: Regular physical activity (PA) attenuates the development of type 2 diabetes mellitus in postpartum women with prior gestational diabetes mellitus (GDM).
Thamudi D Sundarapperuma +3 more
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Learning Approximately Objective Priors [PDF]
, 2017 UAI ...
Eric T. Nalisnick, Padhraic Smyth
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