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

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

Offers an alternative to Markowitz’s “Portfolio Selection”. Outlines the nuts and bolts of correlation between past and future performance, or between expected and actual returns. Explains ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

At the level of Tamhane and Dunlop, Statistics and Data Analysis: From Elementary to Intermediate: sample mean and variance, confidence intervals and hypothesis testing for population means, variances ...

In the context of a high-dimensional linear regression model, we propose an empirical correlation-adaptive prior that uses information in the observed predictor variable matrix to adaptively address ...