A mixture logistic model for panel data with a Markov structure
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2023
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| _version_ | 1866912555574755328 |
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| author | Cheng, Yu-Hsiang Huang, Tzee-Ming |
| author_facet | Cheng, Yu-Hsiang Huang, Tzee-Ming |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2302_01683 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | A mixture logistic model for panel data with a Markov structure Cheng, Yu-Hsiang Huang, Tzee-Ming Methodology 62 G.3 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. |
| title | A mixture logistic model for panel data with a Markov structure |
| topic | Methodology 62 G.3 |
| url | https://arxiv.org/abs/2302.01683 |