A multivariate circular distribution with applications to the protein structure prediction problem

DOI10.1016/j.jmva.2015.09.024zbMath1331.62425OpenAlexW2174452655MaRDI QIDQ900820

Barry C. Arnold, Sungsu Kim, Ashis Sen Gupta

Publication date: 23 December 2015

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2015.09.024

zbMATH Keywords

bioinformaticstest of independenceasymmetric generalized von Mises distributionmarginally specified distributionmultivariate circular distribution

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Linear inference, regression (62J99) Protein sequences, DNA sequences (92D20)

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Bayesian inference on the bimodality of the generalized von Mises distribution ⋮ Unnamed Item ⋮ Conditional specification of statistical models: classical models, new developments and challenges ⋮ Multimodal exponential families of circular distributions with application to daily peak hours of PM2.5 level in a large city

Uses Software

• CircStats
• circular

Cites Work

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• An introduction to copulas. Properties and applications
• Conditionally specified distributions: An introduction. (With comments and a rejoinder).
• A three-parameter generalized von Mises distribution
• Inferences based on a bivariate distribution with von Mises marginals
• Topics in Circular Statistics
• Modeling angles in proteins and circular genomes using multivariate angular distributions based on multiple nonnegative trigonometric sums
• Circular Distributions Based on Nonnegative Trigonometric Sums
• A multivariate von mises distribution with applications to bioinformatics
• Bivariate models for dependence of angular observations and a related Markov process
• Asymptotically Optimal Tests in Markov Processes

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