Geometric mean - Wikipedia
Example of the geometric mean: (red) is the geometric mean of and ,[1][2] is an example in which the line segment is given as a perpendicular to . is the diameter of a circle and . In mathematics, the geometric mean (also known as the mean proportional) is a mean or average which indicates a central tendency of a finite collection of positive real numbers by using the product of their values (as o
Naive Bayes classifier - Wikipedia
Example of a naive Bayes classifier depicted as a Bayesian Network In statistics, naive (sometimes simple or idiot's) Bayes classifiers are a family of "probabilistic classifiers" which assumes that the features are conditionally independent, given the target class.[1] In other words, a naive Bayes model assumes the information about the class provided by each variable is unrelated to the informat
Bayesian inference - Wikipedia
Toggle Inference over exclusive and exhaustive possibilities subsection
Bayesian probability - Wikipedia
Bayesian probability (/ˈbeɪziən/ BAY-zee-ən or /ˈbeɪʒən/ BAY-zhən)[1] is an interpretation of the concept of probability, in which, instead of frequency or propensity of some phenomenon, probability is interpreted as reasonable expectation[2] representing a state of knowledge[3] or as quantification of a personal belief.[4] The Bayesian interpretation of probability can be seen as an extension of
Bayesian average - Wikipedia
A Bayesian average is a method of estimating the mean of a population using outside information, especially a pre-existing belief,[1] which is factored into the calculation. This is a central feature of Bayesian interpretation. This is useful when the available data set is small.[2] Calculating the Bayesian average uses the prior mean m and a constant C. C is chosen based on the typical data set s
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