Bayesian Procrustes analysis with applications to hydrology

DOI10.1080/02664760802653560OpenAlexW2099314737MaRDI QIDQ5123496

Yuqiang Peng, Athanasios C. Micheas

Publication date: 29 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760802653560

zbMATH Keywords

shape analysiscomplex normal distributionprocrustes analysisBayesian computation and estimationfull procrustes fit

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Modeling the growth of objects through a stochastic process of random sets ⋮ Modelling the evolution of a random set utilizing covariate information with applications to nowcasting

Uses Software

• BayesDA

Cites Work

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• Modeling shape distributions and inferences for assessing differences in shapes
• Linear and graphical models for the multivariate complex normal distribution
• Complex elliptical distributions with application to shape analysis
• Shape, Procrustes tangent projections and bilateral symmetry
• Assessing shape differences in populations of shapes using the complex watson shape distribution
• Bayesian Procrustes Solution
• Bayesian alignment using hierarchical models, with applications in protein bioinformatics
• A Kernel-Based Spatio-Temporal Dynamical Model for Nowcasting Weather Radar Reflectivities

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