Maximum Entropy Beyond Selecting Probability Distributions

Authors

Thach N. Nguyen, Banking University of Ho Chi Minh CityFollow
Olga Kosheleva, The University of Texas at El PasoFollow
Vladik Kreinovich, The University of Texas at El PasoFollow

Publication Date

8-2017

Comments

Technical Report: UTEP-CS-17-79

Abstract

Traditionally, the Maximum Entropy technique is used to select a probability distribution in situations when several different probability distributions are consistent with our knowledge. In this paper, we show that this technique can be extended beyond selecting probability distributions, to explain facts, numerical values, and even types of functional dependence.