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, ...

In this paper,we consider the estimation of both the parameters and the nonparametric link function in partially linear single-index models for longitudinal data that may be unbalanced. In particular, ...

In this paper we study neural networks and their approximating power in panel data models. We provide asymptotic guarantees on deep feed-forward neural network estimation of the conditional mean, ...

Forget flattening. This new AI layer respects your data’s structure — and it's changing the rules of deep learning from the inside out. Research: NdLinear Is All You Need for Representation Learning.