Bayesian matching of unlabeled point sets using Procrustes and configuration models

DOI10.1214/12-BA718zbMath1330.62138arXiv1009.3072OpenAlexW2963993335WikidataQ58419220 ScholiaQ58419220MaRDI QIDQ2633925

Ian L. Dryden, Kim Kenobi

Publication date: 5 February 2016

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1009.3072

zbMATH Keywords

shapeMarkov chain Monte CarlosizeproteinmoleculeGibbsMetropolis-HastingsProcrustes

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Computational methods in Markov chains (60J22) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (6)

Shape and object data analysis ⋮ Bayesian comparison of protein structures using partial Procrustes distance ⋮ Bayesian alignment of similarity shapes ⋮ Bayesian alignment of proteins via Delaunay tetrahedralization ⋮ Bayesian registration of functions and curves ⋮ Bayesian protein structure alignment

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