Results 201 to 210 of about 1,995,230 (269)

Bayesian Probability Boxes in Risk Assessment

Journal of Statistical Theory and Practice, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Montgomery, Victoria J., Coolen, Frank P. A., Hart, Andy D. M.   +2 more
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INDUCTION, PROBABILITY, AND BAYESIAN EPISTEMOLOGY

2003
In the last sixty years Finnish analytical philosophers have been extensively investigating induction and probability, and their role in empirical sciences. In this paper the main lines and outcomes of such studies are examined. In particular, the following issues are considered: von Wright’s theory of inductive elimination and his analysis of ...
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Probabilities: Bayesian Classifiers

2015
The earliest attempts to predict an example’s class based on the known attribute values go back to well before World War II—prehistory, by the standards of computer science. Of course, nobody used the term “machine learning,” in those days, but the goal was essentially the same as the one addressed in this book.
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Bayesian Inferences on Predictors of Conception Probabilities

Biometrics, 2005
SummaryReproductive scientists and couples attempting pregnancy are interested in identifying predictors of the day‐specific probabilities of conception in relation to the timing of a single intercourse act. Because most menstrual cycles have multiple days of intercourse, the occurrence of conception represents the aggregation across Bernoulli trials ...
Dunson, David B., Stanford, Joseph B.
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Vagueness and Bayesian probability

IEEE Transactions on Fuzzy Systems, 1994
This paper is a response to Michael Laviolette and John W. Seaman Jr.'s ( ibid. vol.2, no.1, p.4 (1994)) position paper "The efficacy of fuzzy representations of uncertainty," which criticizes fuzzy representations of uncertainty, and suggests that Bayesian probability can do better.
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Bayesian Probability Approach to ADHD Appraisal

2009
Accurate 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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ON BAYESIAN LOGICAL PROBABILITY

ETS Research Bulletin Series, 1964
ABSTRACTIn a recent paper (Edwards, Lindman, and Savage, 1963), psychologists have been urged to adopt a Bayesian personal probability approach to statistical inference. The purpose of this paper is to suggest that a Bayesian logical probability approach may be superior to the personal probability approach.
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Meta-analysis for combining Bayesian probabilities

Medical Hypotheses, 1991
Bayesian analysis is a method by which the reliability of diagnostic tests can be determined. It produces a probability of a patient having the disease given a positive test result (posterior probability). If more than one study of a given test's diagnostic accuracy is done, then how can we determine which of these studies has produced the most ...
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Bayesian Updating of Seismic Probability

Nuclear Science and Engineering, 1986
For those nuclear power plants for which a seismic probabilistic risk assessment has been conducted, it is possible to infer a prediction for the recurrence rate of the safe shutdown earthquake, and then to compare it with the historic seismicity at the site. Using the Bayesian algorithm, it is then possible to update the prediction in such a way as to
H. W. Lewis, S. Seth
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Bayesian Approach to Probability

2016
The 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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