Correlation vs Regression: Both correlation and regression are two powerful tools of statistics and data analysis used to understand the relationships between variables. However, they serve ...

A quantitative study is made of the bias in the usual estimate of the linear correlation coefficient and of the relative efficiency of the estimated regression, when a certain type of selective ...

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 ...

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

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 ...

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, ...