## Philosophy Lexicon of Arguments | |||

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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. | |||

Author | Item | Summary | Meta data |
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Books on Amazon |
Spi I 39ff Bayesian Theorem/Bayesian Rule/Bayes/Spies: answers the question: how is the inference from a causal to a diagnostic probability possible? - (Question of how is it 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, verbal: diagnostic probability = causal probability times base rate divided by probability of the symptom. _____________ 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. |
Spi M. Spies Unsicheres Wissen Heidelberg 1993 |

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Ed. Martin Schulz, access date 2017-10-23