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 ...

The relationship between normal variable discrimination analysis and logistic regression analysis is noted and tests for the equality of two or more sets of multivariate normal parameters based on a ...

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 ...