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, potentially, allows for a highly flexible modelling framework.
Bayesian size-and-shape regression modelling / Di Noia, A., Mastrantonio, G., Jona Lasinio, G.. - In: STATISTICS & PROBABILITY LETTERS. - ISSN 0167-7152. - 204:(2024), pp. 1-4. [10.1016/j.spl.2023.109928]
Bayesian size-and-shape regression modelling
Di Noia, AntonioPrimo
Conceptualization
;Mastrantonio, Gianluca
Methodology
;Jona Lasinio, GiovannaUltimo
Resources
2024
Abstract
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, potentially, allows for a highly flexible modelling framework.File allegati a questo prodotto
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