Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Methods for analysis of network dynamics have seen great progress in the past decade. This article shows how Dynamic Network Logistic Regression techniques (a special case of the Temporal Exponential ...

Scanning laser polarimetry: logistic regression analysis for perimetric glaucoma diagnosis A Ferreras, L E Pablo, A B Pajarín, J García-Feijoo & F M Honrubia Eye 23, 593–600 (2009) Cite this ...

The literature of log linear models and logistic regression is surveyed from a contemporary point of view. A matrix formulation of the general log linear model for product-multinomial random counts is ...