Clustering on the torus by conformal prediction
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Publication:2078266
DOI10.1214/21-AOAS1459zbMath1498.62229OpenAlexW4200212602MaRDI QIDQ2078266
Kiho Park, Byungwon Kim, Sungkyu Jung
Publication date: 28 February 2022
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/21-aoas1459
von Mises distributiondensity estimationprotein structuredirectional statisticsprediction settorsion angles
Directional data; spatial statistics (62H11) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)
Uses Software
Cites Work
- Distribution-Free Predictive Inference For Regression
- Kernel density estimation on the torus
- Minimum volume sets and generalized quantile processes
- Torus principal component analysis with applications to RNA structure
- Estimation of parameters in multivariate wrapped models for data on a \(p\)-torus
- A conformal prediction approach to explore functional data
- A multivariate von mises distribution with applications to bioinformatics
- Finding Groups in Data
- Probabilistic model for two dependent circular variables
- A new partitioning around medoids algorithm
- Distribution-Free Prediction Sets
- Mixtures of concentrated multivariate sine distributions with applications to bioinformatics
- Density Estimation for Protein Conformation Angles Using a Bivariate von Mises Distribution and Bayesian Nonparametrics
- Protein Bioinformatics and Mixtures of Bivariate von Mises Distributions for Angular Data
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