Results 21 to 30 of about 1,212,947 (298)

Identifying elastoplastic parameters with Bayes’ theorem considering output error, input error and model uncertainty

open access: greenProbabilistic Engineering Mechanics, 2018
Hussein Rappel   +3 more
openalex   +3 more sources

Towards Bayesian Evaluation of Seroprevalence Studies

open access: yesMedical 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

open access: yesInternational 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]

open access: yesپژوهشنامه 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
doaj   +1 more source

Bayes' theorem and quantum retrodiction [PDF]

open access: yes, 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.
core   +2 more sources

Decision algorithms and flow graphs; a rough set approach

open access: yesJournal 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]

open access: yes, 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.
core   +2 more sources

Kolmogorov's axioms for probabilities with values in hyperbolic numbers [PDF]

open access: yes, 2015
We introduce the notion of a probabilistic measure which takes values in hyperbolic numbers and which satisfies the system of axioms generalizing directly Kolmogorov's system of axioms.
Alpay, Daniel   +2 more
core   +3 more sources

Trends in epidemiology in the 21st century: time to adopt Bayesian methods

open access: yesCadernos de Saúde Pública, 2014
2013 marked the 250th anniversary of the presentation of Bayes’ theorem by the philosopher Richard Price. Thomas Bayes was a figure little known in his own time, but in the 20th century the theorem that bears his name became widely used in many fields of
Edson Zangiacomi Martinez   +1 more
doaj   +1 more source

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