In generalized linear models, the response is assumed to possess a probability distribution of the exponential form. That is, the probability density of the response Y for continuous response ...

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, ...

Here's how to run both simple and multiple linear regression in Google Sheets using the built-in LINEST function. No add-ons ...

The parameters of popular factor models for interest rates, such as the Heath-Jarrow-Morton model, are known to be mean-reverting. The study of the speed at which the mean reversion happens has been ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

This function is a simple two-dimensional example used for illustrating methods of modeling computer experiment output. Gramacy, R. B., & Lee, H. K. (2008). Gaussian processes and limiting linear ...