The Information Theoretically Efficient Model (ITEM): A model for computerized analysis of large datasets

22 Sep 2014 Tyler Ward

This document discusses the Information Theoretically Efficient Model (ITEM), a computerized system to generate an information theoretically efficient multinomial logistic regression from a general dataset. More specifically, this model is designed to succeed even where the logit transform of the dependent variable is not necessarily linear in the independent variables... (read more)

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Methods used in the Paper

Logistic Regression
Generalized Linear Models