Results 131 to 140 of about 444,491 (252)
Unconditional Variance Estimation Under Complex Surveys
International Statistical Review, EarlyView.Summary The unconditional framework treats the samples and the variables of interest as random variables. This is particularly suitable with analytic inference, when modelling survey data. We show that variance estimation does not involve finite population corrections and joint‐inclusion probabilities, even with large sampling fractions and under ...
Yves G. Berger
wiley +1 more source
The Random Power Function for Tests Based on Pivotal Quantities
International Statistical Review, EarlyView.Summary In clinical trials planning, evaluation of the probability of success of an experiment is of central interest, for instance, in sample size determination. This assessment typically involves analyses of the power function of a test on a parameter of interest, such as a relevant treatment effect.
Fulvio De Santis +2 more
wiley +1 more source
International Statistical Review, EarlyView.Summary In high‐dimensional survival analysis, effective variable selection is crucial both for model interpretation and predictive performance. This paper investigates Cox regression with lasso and adaptive lasso penalties in genomic datasets where covariates far outnumber observations.
Pilar González‐Barquero +2 more
wiley +1 more source
Optimal information deletion and Bayes' theorem [PDF]
In this same journal, Arnold Zellner published a seminal paper on Bayes' theorem as an optimal information processing rule. This result led to the variational formulation of Bayes' theorem, which is the central idea in generalized variational inference ...
Rue, Haavard, Montcho, Hans
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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
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Journal of Risk and Insurance, EarlyView.Abstract This paper introduces a multi‐stage Overlapping Generations (OLG) model of workers and retirees, segmented by disability status and eligibility for Disability Pension (DP) benefits. Extending Gertler (1999) with progressive disability stages of distinct productivity and transition probabilities, and calibrated to US data, the model generates ...
Hangsuck Lee +3 more
wiley +1 more source
Bayes' Theorem and Naive Bayes Classifier
This article gives a mathematically rigorous yet easily accessible introduction to Bayes’ theorem and the foundations of naive Bayes learning. Starting from the fundamental elements of probability theory, this article outlines all steps leading to one of
Berrar, Daniel
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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
Diagnostic Accuracy Studies: Sensitivity, Specificity, and Beyond
Journal of Periodontal Research, EarlyView.This methodological article covers key diagnostic accuracy measures, common pitfalls in diagnostic accuracy studies, and how evidence should progress from diagnostic accuracy to clinical effectiveness, with examples from various fields. ABSTRACT Diagnostic tests are central to medical care, and their evaluation remains methodologically challenging ...
Nancy Vegas +2 more
wiley +1 more source
Teaching Bayes' Theorem: Strength of Evidence As Predictive Accuracy
, 2018 Although teaching Bayes' theorem is popular, the standard approach---targeting posterior distributions of parameters---may be improved. We advocate teaching Bayes' theorem in a ratio form where the posterior beliefs relative to the prior beliefs equals ...
Richard D. Morey, Jeffrey N. Rouder
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