Coming Together of Bayesian Inference and Skew Spherical Data
This paper presents Bayesian directional data modeling via the skew-rotationally-symmetric Fisher-von Mises-Langevin (FvML) distribution. The prior distributions for the parameters are a pivotal building block in Bayesian analysis, therefore, the impact of the proposed priors will be quantified usin...
Main Authors: | Najmeh Nakhaei Rad, Andriette Bekker, Mohammad Arashi, Christophe Ley |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-02-01
|
Series: | Frontiers in Big Data |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fdata.2021.769726/full |
Similar Items
-
Möbius Transformation-Induced Distributions Provide Better Modelling for Protein Architecture
by: Mohammad Arashi, et al.
Published: (2021-10-01) -
Enhancing wind direction prediction of South Africa wind energy hotspots with Bayesian mixture modeling
by: Najmeh Nakhaei Rad, et al.
Published: (2022-07-01) -
Spherical Minimum Description Length
by: Trevor Herntier, et al.
Published: (2018-08-01) -
Patterns Simulations Using Gibbs/MRF Auto-Poisson Models
by: Stelios Zimeras
Published: (2022-06-01) -
Uma abordagem bayesiana para o mapeamento de QTLS utilizando o método MCMC com saltos reversíveis A bayesian approach to map QTLs using reversible jump MCMC
by: Joseane Padilha da Silva, et al.
Published: (2009-08-01)