Lecture 11. Bayesian Regression with conjugate and non-conjugate priors Preloader

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A really, really fast review of multiple regression. Many studies concern the relationship between two or more observable quantities.How do changes in quantity y (the dependent variable) vary as a function of another quantity x (the independent variable)?Regression models allow us to examine the conditional distribution of y given x, parameterized as p(y|B,x) when the n observations (yi, xi) are exchangeable.The normal linear model occurs when a distribution of y given x is normal with a m9458

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