The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

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 ...

Bayesian analyses of multivariate binary or categorical outcomes typically rely on probit or mixed effects logistic regression models that do not have a marginal logistic structure for the individual ...

Bayesian Quantile Regression and Statistical Modelling Publication Trend The graph below shows the total number of publications each year in Bayesian Quantile Regression and Statistical Modelling.