Results 11 to 20 of about 41,630 (304)
Wavelength-Resolution SAR Change Detection Using Bayes’ Theorem
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 -This article presents Bayes' theorem for wavelength-resolution synthetic aperture radar (SAR) change detection method development. Different change detection methods can be derived using Bayes' theorem in combination with the target model, clutter-plus ...
Dimas Irion Alves +7 more
doaj +3 more sources
Bayesian Statistics for Beginners, 2019 Abstract This chapter focuses on Bayes’ Theorem. The chapter first gives a brief introduction to Thomas Bayes, who first formulated the theorem. It then builds on the content presented in Chapters 1 and 2 to derive Bayes’ Theorem and describes two ways to think about it.
Thérèse M Donovan +2 more
exaly +8 more sources
Application of Bayes' Theorem in Valuating Depression Tests Performance [PDF]
Frontiers in Psychology, 2018 The validity of clinical diagnoses is a fundamental topic in clinical psychology, because now there are some political administrations, as the IOM or the U.K. government, which are focusing on best evidence-based practice in clinical psychology. The most
Marco Tommasi +2 more
exaly +4 more sources
A modified Bayes’ theorem for reliable conformity assessment in industrial metrology
Measurement: Journal of the International Measurement Confederation, 2021 Numerous papers in the literature recommend the use of Bayes’ theorem to merge the available a priori knowledge about a measurand with the measurement result associated to the measurand itself. The obtained a posteriori value should be used in conformity
Harsha Vardhana Jetti +2 more
exaly +3 more sources
Paraconsistent Probabilities: Consistency, Contradictions and Bayes’ Theorem [PDF]
Entropy, 2016 This paper represents the first steps towards constructing a paraconsistent theory of probability based on the Logics of Formal Inconsistency (LFIs).
Juliana Bueno-Soler, Walter Carnielli
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Error rates in SARS-CoV-2 testing examined with Bayes' theorem [PDF]
Heliyon, 2021 The SARS-CoV-2 pandemic has created a demand for large scale testing, as part of the effort to understand and control transmission. It is important to quantify the error rates of test equipment under field conditions, which might differ significantly ...
P.M. Bentley
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R. A. Fisher on Bayes and Bayes' theorem [PDF]
Bayesian Analysis, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
John Aldrich
exaly +5 more sources
A software tool for applying Bayes' theorem in medical diagnostics [PDF]
BMC Medical Informatics and Decision MakingBackground In medical diagnostics, estimating post-test or posterior probabilities for disease, positive and negative predictive values, and their associated uncertainty is essential for patient care.
Theodora Chatzimichail +1 more
doaj +2 more sources
Tumori Journal, 1970 Bayes’ theorem is a useful mathematical and statistical tool for calculating the probability of a given diagnosis from the clinical signs and their incidence in the various diagnoses considered. The theorem is highly pertinent to mammography, especially in mass screening, which calls for a simple unequivocal method of evaluating clinical and ...
Francesco Di Pietrantonj, Ugo Salvolini
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Bayes’ Theorem and Naive Bayes Classifier
Encyclopedia of Bioinformatics and Computational Biology, 2019 The goal of this article is to give a mathematically rigorous yet easily accessible introduction to Bayes’ theorem and the foundations of naive Bayes learning. Starting from fundamental elements of probability theory, this text outlines all steps leading
Berrar, Daniel, Daniel Berrar
core +2 more sources