The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to see if there's a relationship between two variables, with the first known ...

Syllabus: Bayesian inference concepts: Prior and posterior distributions, Bayes estimators, credible inter- vals, Bayes factors, Bayesian forecasting, Posterior Predictive distribution. Linear models ...

This article is concerned with the selection of subsets of predictor variables in a linear regression model for the prediction of a dependent variable. It is based on a Bayesian approach, intended to ...

C. C. Holmes, B. K. Mallick, Bayesian Regression with Multivariate Linear Splines, Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol ...