A mixture logistic model for panel data with a Markov structure
Methodology
2025-08-28 v3
Abstract
In this study, we propose a mixture logistic regression model with a Markov structure, and consider the estimation of model parameters using maximum likelihood estimation. We also provide a forward type variable selection algorithm to choose the important explanatory variables to reduce the number of parameters in the proposed model.
Cite
@article{arxiv.2302.01683,
title = {A mixture logistic model for panel data with a Markov structure},
author = {Yu-Hsiang Cheng and Tzee-Ming Huang},
journal= {arXiv preprint arXiv:2302.01683},
year = {2025}
}
Comments
Some corrections have been made in this version