Difference between revisions of "Bayesian inference"
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(This is an iterative process which constantly updates the probability of the truth of the hypothesis as new data become available.) |
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'''Bayesian inference''' applies [[Bayes' theorem]] to observations in order to infer the probability of the truth of an hypothesis. | '''Bayesian inference''' applies [[Bayes' theorem]] to observations in order to infer the probability of the truth of an hypothesis. | ||
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| + | This is an iterative process which constantly updates the probability of the truth of the hypothesis as new data become available. | ||
[[Category:Statistics]] | [[Category:Statistics]] | ||
[[Category:Philosophy]] | [[Category:Philosophy]] | ||
Revision as of 01:25, May 29, 2020
Bayesian inference is an approach to statistics whereby all forms of uncertainty are described in terms of probability.
Bayesian inference applies Bayes' theorem to observations in order to infer the probability of the truth of an hypothesis.
This is an iterative process which constantly updates the probability of the truth of the hypothesis as new data become available.