Bayes' theorem - перевод на русский
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Bayes' theorem - перевод на русский

THEOREM DESCRIBING THE PROBABILITY OF AN EVENT BASED ON PRIOR KNOWLEDGE OF CONDITIONS THAT MIGHT BE RELATED TO THE EVENT
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  • Figure 1: Using a frequency box to show <math>P(\text{User}\mid \text{Positive}) </math> visually by comparison of shaded areas
  • function]] of ''x'' and ''y''.
  • Figure 2: A geometric visualisation of Bayes' theorem.
  • Figure 4: Tree diagram illustrating the beetle example. ''R, C, P'' and <math> \overline{P} </math> are the events rare, common, pattern and no pattern. Percentages in parentheses are calculated. Three independent values are given, so it is possible to calculate the inverse tree.
  • tree diagrams]].
  • Figure 6: A way to conceptualize event spaces generated by continuous random variables X and Y.

Bayes' theorem         
теорема Байеса
Bayes' rule         
мат.
правило [формула] Вайеса
Bayes risk         
ESTIMATOR OR DECISION RULE THAT MINIMIZES THE POSTERIOR EXPECTED VALUE OF A LOSS FUNCTION
Bayesian estimation; Bayesian estimate; Bayesian estimator; Bayes risk; Bayes estimation; Bayesian decision theory; Generalized Bayes estimator; Asymptotic efficiency (Bayes); Bayes action; Posterior mean; Bayesian risk
байесовский риск

Определение

Bayes' theorem
¦ noun Statistics a theorem expressing the conditional probability of each of a set of possible causes for a given observed outcome in terms of the known probability of each cause and the conditional probability of the outcome of each cause.
Derivatives
Bayesian adjective
Origin
C19: named after the English mathematician Thomas Bayes.

Википедия

Bayes' theorem

In probability theory and statistics, Bayes' theorem (alternatively Bayes' law or Bayes' rule), named after Thomas Bayes, describes the probability of an event, based on prior knowledge of conditions that might be related to the event. For example, if the risk of developing health problems is known to increase with age, Bayes' theorem allows the risk to an individual of a known age to be assessed more accurately by conditioning it relative to their age, rather than simply assuming that the individual is typical of the population as a whole.

One of the many applications of Bayes' theorem is Bayesian inference, a particular approach to statistical inference. When applied, the probabilities involved in the theorem may have different probability interpretations. With Bayesian probability interpretation, the theorem expresses how a degree of belief, expressed as a probability, should rationally change to account for the availability of related evidence. Bayesian inference is fundamental to Bayesian statistics, being considered by one authority as; "to the theory of probability what Pythagoras's theorem is to geometry."

Примеры употребления для Bayes' theorem
1. "Aquinas‘s five ‘proofs‘, Pascal‘s wager (meant as a joke, surely), even Stephen Unwin‘s probability of God, whose use of Bayes‘ theorem to demonstrate the probability of God Dawkins scathingly dismisses as ‘quite agreeably funny‘." During my unhurried descent from the elation of being targeted in such company, I realised that, as the only one of the three still alive, it fell upon me to respond.
Как переводится Bayes' theorem на Русский язык