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Bayesian Approach to Probability
2016The Bayesian approach to probability allows to define in a quantitative way probabilities associated to statement whose truth or falsity is not known. This also applies to the knowledge of unknown parameters in physics, allowing to assign a probability to the possibility that a parameter’s value lies within a certain interval.
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Determining the conditional probabilities in Bayesian networks
2003Summary: Bayesian networks are used to illustrate how the probability of having a disease can be updated given the results from clinical tests. The problem of diagnosis, that is of determining whether a certain disease is present, \(D\), or absent, \(D'\), based on the result of a medical test, is discussed.
OLMUŞ, Hülya, ERBAŞ, S. Oral
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Bayesian Probability Approach to ADHD Appraisal
2009Accurate diagnosis of attentional disorders such as attention-deficit hyperactivity disorder (ADHD) is imperative because there are multiple negative psychosocial sequelae related to undiagnosed and untreated ADHD. Early and accurate detection can lead to effective intervention and prevention of negative sequelae.
Raina, Robeva, Jennifer Kim, Penberthy
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Probability and Bayesian Statistics.
The Statistician, 1989P. M. Lee, R. Viertl
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Bayesian learning for neural networks: an algorithmic survey
Artificial Intelligence Review, 2023Alexandros Iosifidis +1 more
exaly
The JASP guidelines for conducting and reporting a Bayesian analysis
Psychonomic Bulletin and Review, 2020Julia M Haaf +2 more
exaly