solving linear regression problems, often form the core of large scale computations. This course will describe efficient techniques for solving problems such as these. Both the theoretical foundations ...

Supplementary material may be drawn from the following two texts: Matrix Computations by Gene Golub and Charles van Loan, Johns Hopkins 2013 (third or fourth editions) Iterative Methods for Sparse ...

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, ...