Bayesian inference on the bimodality of the generalized von Mises distribution

DOI10.1007/s42519-022-00250-2zbMath1485.62065OpenAlexW4229370188MaRDI QIDQ2136070

Riccardo Gatto, Sara Salvador

Publication date: 10 May 2022

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s42519-022-00250-2

zbMATH Keywords

Bayes factorMetropolis-Hastings algorithmGibbs samplingcircular distributionfull conditional distributionhighest posterior density credible set

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Bayesian inference (62F15) Monte Carlo methods (65C05)

Uses Software

• CircStats
• circular

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• The generalized von Mises distribution
• A multivariate circular distribution with applications to the protein structure prediction problem
• Semiparametric Bayesian circular statistics
• Statistical decision theory and Bayesian analysis. 2nd ed
• Inference from iterative simulation using multiple sequences
• Bayesian tests of symmetry for the generalized von Mises distribution
• An efficient simulation algorithm for the generalized von Mises distribution of order two
• Recent advances in directional statistics
• Topics in Circular Statistics
• Information theoretic results for circular distributions
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• A Note on the Construction of Highest Posterior Density Intervals
• A comparison of various methods for estimating the parameters in mixtures of von mises distributions
• Bayesian Spectral Analysis With Student-t Noise
• Applied Directional Statistics
• Bayes Factors
• Equation of State Calculations by Fast Computing Machines
• Monte Carlo sampling methods using Markov chains and their applications

This page was built for publication: Bayesian inference on the bimodality of the generalized von Mises distribution