Uncertain logistic regression models-Reference-Cited by-同舟云学术

Uncertain logistic regression models

Published:2024 Issue:5 Volume:9 Page:10478-10493
ISSN:2473-6988
Container-title:AIMS Mathematics
language:
Short-container-title:MATH

Author:

Gao Jinling¹,Gong Zengtai²

Affiliation:

1. School of Information Engineering and Artificial Intelligence, Lanzhou University of Finance and Economics, Lanzhou 730010, China

2. College of Mathematics and Statistics, Northwest Normal University, Lanzhou 730070, China

Abstract

<abstract><p>Logistic regression is a generalized nonlinear regression analysis model and is often used for data mining, automatic disease diagnosis, economic prediction, and other fields. In this paper, we first aimed to introduce the concept of uncertain logistic regression based on the uncertainty theory, as well as investigating the likelihood function in the sense of uncertain measure to represent the likelihood of unknown parameters.</p></abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Reference20 articles.

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