The multivariate model is a popular statistical tool that uses multiple variables to forecast possible investment outcomes.

A multivariate subset (or 'partially') reduced-rank regression model is considered as an extension of the usual multivariate reduced-rank model. In the model, the reduced-rank coefficient structure is ...

The mixed effects model for binary responses due to Conaway (1990, A Random Effects Model for Binary Data) is extended to accommodate ordinal responses in general and discrete time survival data with ...

Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic!

PresenterConor DolanDate first presentedJune 2022 Virtual WorkshopContentIn this lecture, the univariate twin model is extended to the bivariate twin model. It is explained how the variance in two ...