Results 211 to 220 of about 17,736 (248)

INTRODUCTION TO BAYESIAN REASONING

International Journal of Technology Assessment in Health Care, 2001
Interest in Bayesian analyses has increased recently, in part as a response to policy makers wanting sound scientific bases for health technology assessments, and associated healthcare funding decisions. This paper provides a brief and simplified description of Bayesian reasoning.
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Applying Bayesian reasoning to electrocardiogram interpretation

Journal of Electrocardiology, 2023
Electrocardiograms (ECGs) are a cornerstone in cardiac care. Traditional statistical metrics like sensitivity and specificity are commonly used for diagnostic evaluations but are limited when applied in clinical settings due to their inability to incorporate pre-test likelihoods or individual patient context.
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BAYESIAN NETWORK REASONING WITH UNCERTAIN EVIDENCES

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2010
This paper investigates the problem of belief update in Bayesian networks (BN) with uncertain evidence. Two types of uncertain evidences are identified: virtual evidence (reflecting the uncertainty one has about a reported observation) and soft evidence (reflecting the uncertainty of an event one observes).
Peng, Yun, Zhang, Shenyong, Pan, Rong
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First-order Bayesian reasoning

1998
This paper briefly discusses problems with traditional Bayesian networks, and previous attempts at overcoming those problems, as a motivation for formulating a first-order knowledge based approach to Bayesian inference. The proposed first-order knowledge based approach endeavours to address each of the traditional Bayesian network problems.
Ingrid Fabian, Dale A. Lambert
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Bayesian probabilistic reasoning in design

Proceedings of IEEE Pacific Rim Conference on Communications Computers and Signal Processing, 2002
The application of Bayesian reasoning to engineering design is discussed. The decisions involved in the design process can be represented as nodes in a Bayesian network. The conditional probability that a child node in this network will take a desired value, given the values of its parents, can be estimated from a database built up from simulations of ...
J. Jones, Y. Xiang, S. Joseph
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Scientific Reasoning: The Bayesian Approach.

Journal of the American Statistical Association, 1991
9. Scientific Reasoning: the Bayesian Approach. By C. Howson and P. Urbach. ISBN 0 8126 9084 2 (hardbound), 0 8126 9085 0 (paperbound). Open Court, la Salle, 1989. 312 pp. $34.95 (hardbound), $16.95 (paperbound).
Neil Sheldon, Colin Howson, Peter Urbach
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Rarity, pseudodiagnosticity and Bayesian reasoning

Thinking & Reasoning, 2008
Three experiments investigated the effect of rarity on people's selection and interpretation of data in a variant of the pseudodiagnosticity task. For familiar (Experiment 1) but not for arbitrary (Experiment 3) materials, participants were more likely to select evidence so as to complete a likelihood ratio when the initial evidence they received was a
Feeney, Aidan, Evans, J., Venn, S.
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Bayesian statistics and modelling

Nature Reviews Methods Primers, 2021
Rens van de Schoot, Sarah A Depaoli, Ruth King   +2 more
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Application of Bayesian approaches in drug development: starting a virtuous cycle

Nature Reviews Drug Discovery, 2023
Stephen J Ruberg, Lisa M Lavange
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