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Bayesian Linear Regression
Definition
Bayesian linear regression is a type of conditional modeling in which the mean of one variable is described by a linear combination of other variables, with the goal of obtaining the posterior probability of the regression coefficients.
References
Wikipedia. (n.d.). Bayesian linear regression. Link
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