Bayesian size-and-shape regression modelling

被引：0
|
作者：
Di Noia, Antonio [1 ,2 ]
Mastrantonio, Gianluca [3 ]
Lasinio, Giovanna Jona [4 ]
机构：
[1] Swiss Fed Inst Technol, Dept Math, Seminar Stat, Ramistr 101, CH-8092 Zurich, Switzerland
[2] Univ Svizzera Italiana, Fac Econ, Via Giuseppe Buffi 13, CH-6900 Lugano, Switzerland
[3] Politecn Torino, Dept Math Sci, Corso Duca Abruzzi 24, I-10129 Turin, Italy
[4] Sapienza Univ, Dept Stat Sci, Ple Aldo Moro 5, I-00185 Rome, Italy
来源：
STATISTICS & PROBABILITY LETTERS | 2024年 / 204卷
关键词：
Bayesian models; Size-and-shape; Latent variables; Statistics on manifolds;
D O I：
10.1016/j.spl.2023.109928
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
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.& COPY; 2023 Elsevier B.V. All rights reserved.
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