Bayesian size-and-shape regression modelling
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866929379244769280 |
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| author | Di Noia, Antonio Mastrantonio, Gianluca Lasinio, Giovanna Jona |
| author_facet | Di Noia, Antonio Mastrantonio, Gianluca Lasinio, Giovanna Jona |
| contents | Building on Dryden et al. (2021), this note presents the Bayesian estimation of a regression model for size-and-shape response variables with Gaussian landmarks. Our proposal fits into the framework of Bayesian latent variable models and allows a highly flexible modelling framework. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2303_06661 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Bayesian size-and-shape regression modelling Di Noia, Antonio Mastrantonio, Gianluca Lasinio, Giovanna Jona Methodology Building on Dryden et al. (2021), this note presents the Bayesian estimation of a regression model for size-and-shape response variables with Gaussian landmarks. Our proposal fits into the framework of Bayesian latent variable models and allows a highly flexible modelling framework. |
| title | Bayesian size-and-shape regression modelling |
| topic | Methodology |
| url | https://arxiv.org/abs/2303.06661 |