Results 21 to 30 of about 1,212,906 (326)
The Central Role of Bayes' Theorem for Joint Estimation of Causal Effects and Propensity Scores. [PDF]
Am Stat, 2016 Zigler CM.
europepmc +2 more sources
How Much Overtesting Is Needed to Safely Exclude a Diagnosis? A Different Perspective on Triage Testing Using Bayes' Theorem. [PDF]
PLoS One, 2016 Sikkens JJ +4 more
europepmc +3 more sources
Towards Bayesian Evaluation of Seroprevalence Studies
Medical Sciences Forum, 2021 Bayes’ Theorem represents a mathematical formalization of the common sense. What we know about the world today is what we knew yesterday plus what the data told us.
Jana Furstova +4 more
doaj +1 more source
Using Bayes' Theorem for Command Input: Principle, Models, and Applications
International Conference on Human Factors in Computing Systems, 2020 Entering commands on touchscreens can be noisy, but existing interfaces commonly adopt deterministic principles for deciding targets and often result in errors. Building on prior research of using Bayes' theorem to handle uncertainty in input, this paper
Suwen Zhu +8 more
semanticscholar +1 more source
The Frequentist Problem of Evil (Based on Wesley Salmon's interpretation) [PDF]
پژوهشنامه فلسفه دین, 2015 The problem of evil is one of the most important topics in philosophy of religion. This article, based on original texts, analyses the frequency interpretation of probabilistic argument from evil and review some of its main critiques. This analysis based
Ghasem Purhasan, Ali Hatamian
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Bayes' theorem and quantum retrodiction [PDF]
, 2000 We derive on the basis of Bayes' theorem a simple but general expression for the retrodicted premeasurement state associated with the result of any measurement.
Barnett, S.M., Jeffers, J., Pegg, D.T.
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Decision algorithms and flow graphs; a rough set approach
Journal of Telecommunications and Information Technology, 2003 This paper concerns some relationship between Bayes` theorem and rough sets. It is revealed that any decision algorithm satisfies Bayes` theorem, without referring to either prior or posterior probabilities inherently associated with classical Bayesian ...
Zdzisław Pawlak
doaj +1 more source
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 ...
Berger, James O., Scott, James G.
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