Ultimately, regression analysis is the primary way users new to data mining can gain a deeper understanding of their data sets. It’s a method that goes beyond simple causation and correlation.

Regression: Data mining can be used to construct predictive models based on many variables. Facebook, for example, might be interested in predicting future engagement for a user based on past ...

Topics to be covered include logistic regression, data mining,regression prediction, classification prediction, artificial neural networks, sensitivity analysis, information fusion, and combining ...

Data mining is a process that turns large volumes of raw data into actionable intelligence, and it's used by a wide variety of industries.

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, ...

An adjusted empirical likelihood is constructed for the vector of regression coefficients using a synthetic data approach. The adjusted empirical likelihood is shown to have a central chi-squared ...