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, ...

We propose a generalized functional linear regression model for a regression situation where the response variable is a scalar and the predictor is a random function. A linear predictor is obtained by ...

Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

Dominik Rothenhäusler, Peter Bühlmann, Nicolai Meinshausen, CAUSAL DANTZIG, The Annals of Statistics, Vol. 47, No. 3 (June 2019), pp. 1688-1722 ...