STAT 3400 - Applied Regression Introduces methods, theory, and applications of linear statistical models, covering topics such as estimation, residual diagnostics, goodness of fit, transformations, ...

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

Block-recursive regression equations are derived as the key to understanding the relation between two main approaches, between graphical chain models for continuous variables on the one hand and ...

This course consists of two sections: Section 1 demonstrates linear regression to model the linear relationship between a response and predictor(s) when both the response and predictors are continuous ...

We design a numerical scheme for solving a Dynamic Programming equation with Malliavin weights arising from the time-discretization of backward stochastic differential equations with the integration ...