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 ...

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 ...

Caroline Carrico, Chris Gennings, David C. Wheeler, Pam Factor-Litvak, Characterization of Weighted Quantile Sum Regression for Highly Correlated Data in a Risk Analysis Setting, Journal of ...

Semi-parametric regression models for the joint estimation of marginal mean and within-cluster pairwise association parameters are used in a variety of settings for population-averaged modeling of ...