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- W4236175165 abstract "Abstract Bayesian statistics is based on the interpretation of a probability as a degree of belief held by an individual about some hypothesis, event, or uncertain quantity. These ‘prior’ degrees of belief are revised in light of new information by the application of Bayes's theorem, a simple consequence of the addition and multiplication laws of probability, thereby resulting in a ‘posterior’ probability distribution. Bayesian statistical inferences are based on this posterior distribution, usually in the form of probability statements about the hypotheses, events, or uncertain quantities of interest, sometimes giving different inferences from classical statistical methods even though they are both based on the same data." @default.
- W4236175165 created "2022-05-12" @default.
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- W4236175165 date "2005-04-15" @default.
- W4236175165 modified "2023-10-12" @default.
- W4236175165 title "Bayesian Statistics" @default.
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- W4236175165 doi "https://doi.org/10.1002/0470013192.bsa047" @default.
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