Results 121 to 130 of about 444,422 (231)
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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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
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.
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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
Analysis and forecasting of the scale and impact of forest fires on ecosystems of Ukraine
Ukrainian Journal of Forest and Wood ScienceForest fires are one of the most significant environmental problems that have a major impact on biodiversity and climate conditions. The purpose of the study was to investigate the impact of military operations on the ground cover in the area of the ...
V. Moroz
doaj +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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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
Multiple Chains Markov Switching Vector Autoregression
Journal of Time Series Analysis, EarlyView.ABSTRACT Both the U.S. stock and bond returns exhibit distinct Markovian regimes. However, because these regimes display limited coherence, conventional models typically require highly parameterized systems to adequately capture their joint distribution.
Leopoldo Catania
wiley +1 more source