Construct · 1 fields · 1 citations

Bayes' theorem: a standalone construct

One name. One construct. A landmark on the map.

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Bayesian statistics

the rule for updating the probability of a hypothesis after seeing evidence, combining prior belief with the likelihood.

In Bayesian statistics, Bayes' theorem refers to the rule for updating the probability of a hypothesis after seeing evidence, combining prior belief with the likelihood. This meaning comes from Bayes (1763) in Philosophical Transactions of the Royal Society of London.[1]

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Nearby constructs

posterior2 fields · 2 citationsjingle · one word, two constructs Bayesian model updating1 fields · 1 citationsanchor · a standalone construct belief4 fields · 4 citationsjingle · one word, four constructs

References

Bayes, T. (1763). An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, F. R. S. communicated by Mr. Price, in a letter to John Canton, A. M. F. R. S. Philosophical Transactions of the Royal Society of London, 370-418. https://doi.org/10.1098/rstl.1763.0053

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