A mixture logistic model for panel data with a Markov structure

02/03/2023

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by   Yu-Hsiang Cheng, et al.

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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.