Bayesian size-and-shape regression modelling

DOI10.1016/j.spl.2023.109928arXiv2303.06661OpenAlexW4386012771MaRDI QIDQ6067018

Gianluca Mastrantonio, Unnamed Author, Giovanna Jona Lasinio

Publication date: 14 December 2023

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2303.06661

zbMATH Keywords

latent variablesBayesian modelssize-and-shapestatistics on manifolds

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Image analysis in multivariate analysis (62H35)

Cites Work

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• Julia: A Fresh Approach to Numerical Computing
• Regression Modeling for Size-and-Shape Data Based on a Gaussian Model for Landmarks
• Bayesian alignment using hierarchical models, with applications in protein bioinformatics

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