Generation of three-dimensional random rotations in fitting and matching problems

DOI10.1007/s00180-009-0156-xzbMath1240.65016OpenAlexW2032938892MaRDI QIDQ638054

Michael Habech

Publication date: 8 September 2011

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-009-0156-x

zbMATH Keywords

algorithmMarkov chain Monte CarloEuler anglesGibbs samplerprotein moleculesrandom rotation matrix

Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05) Monte Carlo methods (65C05) Biochemistry, molecular biology (92C40) Numerical analysis or methods applied to Markov chains (65C40)

Related Items

Unlabelled landmark matching via Bayesian data selection, and application to cell matching across imaging modalities ⋮ Bayesian analysis for bivariate von Mises distributions ⋮ A New Unified Approach for the Simulation of a Wide Class of Directional Distributions

Uses Software

• Directional

Cites Work

• Recovering facial pose with the EM algorithm
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Empirical Bayes hierarchical models for regularizing maximum likelihood estimation in the matrix Gaussian Procrustes problem
• Bayesian alignment using hierarchical models, with applications in protein bioinformatics
• Invariant Prior Distributions
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item