A Maximum Entropy Procedure to Solve Likelihood Equations

A Maximum Entropy Procedure to Solve Likelihood Equations

In this article, we provide initial findings regarding the problem of solving likelihood equations by means of a maximum entropy (ME) approach. Unlike standard procedures that require equating the score function of the maximum likelihood problem at zero, we propose an alternative strategy where the...

Full description

Bibliographic Details
Main Authors: Antonio Calcagnì, Livio Finos, Gianmarco Altoé, Massimiliano Pastore
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Entropy
Subjects:
maximum entropy
score function
maximum likelihood
binary regression
data separation
Online Access:https://www.mdpi.com/1099-4300/21/6/596

Internet

https://www.mdpi.com/1099-4300/21/6/596

Similar Items