Results 31 to 40 of about 6,276,816 (299)
Bayes and empirical-Bayes multiplicity adjustment in the variable-selection problem [PDF]
, 2010 This paper studies the multiplicity-correction effect of standard Bayesian variable-selection priors in linear regression. Our first goal is to clarify when, and how, multiplicity correction happens automatically in Bayesian analysis, and to distinguish ...
James G. Scott, J. Berger
semanticscholar +1 more source
Naïve Bayes Classifier for Journal Quartile Classification
Int. J. Recent Contributions Eng. Sci. IT, 2019 Classification is a process for distinguishing data classes, with the aim of being able to estimate the class of an object with unknown label. One popular method that used for classifying data is Naïve Bayes Classifier.
A. Wibawa +6 more
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BMC Medical Research Methodology, 2017 Background Exploratory preclinical, as well as clinical trials, may involve a small number of patients, making it difficult to calculate and analyze the pharmacokinetic (PK) parameters, especially if the PK parameters show very high inter-individual ...
Sudeep Pradhan +8 more
doaj +1 more source
On Reliability in a Multicomponent Stress-Strength Model with Power Lindley Distribution
Revista Colombiana de EstadísticaIn this paper we study the reliability of a multicomponent stress-strength model assuming that the components follow power Lindley model. The maximum likelihood estimate of the reliability parameter and its asymptotic confidence interval are obtained ...
Abbas Pak +2 more
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The Annals of Statistics, 1978 Let $x_1, \cdots, x_n$ be i.i.d. random variables with a distribution depending on the real parameter. Under what conditions is a generalized Bayes estimator independent of the choice of the even loss function? The known answer to this question is that this independence holds if the posterior density is symmetric and unimodal.
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BAYES RISKS OF ESTIMATORS OF ESTIMABLE PARAMETERS [PDF]
Bulletin of Mathematical Statistics, 1980 For the estimable parameter of degree 2, throughout this paper, we consider 02 with h2 such that h2(x, x) and h2(x, x)=0 for any x, yEX. As estimators of estimable parameters, U-statistics and differentiable statistical functions are well known. (See, for example, Hoeffding (1948) and von Mises (1947).) For an estimable parameter of degree 1, the U ...
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Advances in Mechanical Engineering, 2016 In order to solve the reliability assessment of braking system component of high-speed electric multiple units, this article, based on two-parameter exponential distribution, provides the maximum likelihood estimation and Bayes estimation under a type-I ...
Jianwei Yang +4 more
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Different models of genetic variation and their effect on genomic evaluation
Genetics Selection Evolution, 2011 Background The theory of genomic selection is based on the prediction of the effects of quantitative trait loci (QTL) in linkage disequilibrium (LD) with markers. However, there is increasing evidence that genomic selection also relies on "relationships"
Hickey John M +2 more
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Two modeling strategies for empirical Bayes estimation [PDF]
Statistical Science, 2014 Empirical Bayes methods use the data from parallel experiments, for instance observations Xk ~ 𝒩 (Θk, 1) for k = 1, 2, …, N, to estimate the conditional distributions Θk|Xk.
B. Efron
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objectives The association between exposure to dinutuximab beta (DB) and event‐free survival (EFS) or overall survival (OS) of neuroblastoma patients was assessed using data collected during three clinical trials (five cohorts). Methods A systematic review (March 2026) was conducted to identify relevant studies (prospective; registered DB ...
Przemysław Holko +19 more
wiley +1 more source