Philosophy Dictionary of ArgumentsHome
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| Bayesianism: perceives probability as the degree of a belief. See also subjective probability, objective probability, chance, likelihood._____________Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments. | |||
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Marcus Spies on Bayesianism - Dictionary of Arguments
Spi I 39ff Bayesian Theorem/Bayesian Rule/Bayes/Spies: answers the question: how is the inference from a causal to a diagnostic probability possible? Bayes Formula: P(D l S) = P(S l D) x P(D) / P(S). P(S): probability that the symptom is present: how many patients complain about it? Def Basic Rate: P(D): probability of diagnosis without consideration of the symptom (How common is the disease?) Bayes' theorem: diagnostic probability = causal probability times base rate divided by probability of the symptom. >Probability, >Probability theory, >Statistics, >Chance, >Likelihood, >Hypotheses, >Symptoms._____________Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution. Translations: Dictionary of Arguments The note [Concept/Author], [Author1]Vs[Author2] or [Author]Vs[term] resp. "problem:"/"solution:", "old:"/"new:" and "thesis:" is an addition from the Dictionary of Arguments. If a German edition is specified, the page numbers refer to this edition. |
Spi M. Spies Unsicheres Wissen Heidelberg 1993 |
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> Counter arguments against Spies
> Counter arguments in relation to Bayesianism
Ed. Martin Schulz, access date 2024-04-18