A Bayesian model for longitudinal circular data based on the projected normal distribution

DOI10.1016/j.csda.2012.07.025zbMath1471.62153OpenAlexW2091528983WikidataQ58228969 ScholiaQ58228969MaRDI QIDQ123019

Gabriel Nuñez-Antonio, Gabriel Nuñez-Antonio, Eduardo Gutiérrez-Peña

Publication date: March 2014

Published in: Computational Statistics & Data Analysis, Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2012.07.025

zbMATH Keywords

longitudinal dataGibbs samplerlatent variablescircular dataprojected normal distributionmixed-effects linear models

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Related Items (8)

Recent advances in directional statistics ⋮ Bayesian estimation and hypothesis tests for a circular generalized linear model ⋮ CircSpaceTime: an R package for spatial and spatio-temporal modelling of circular data ⋮ Unnamed Item ⋮ Marginal Projected Multivariate Linear Models for Clustered Angular Data ⋮ bpnreg ⋮ A cylindrical distribution with heavy-tailed linear part ⋮ Circular interpretation of regression coefficients

Uses Software

• R
• CircStats
• circular

Cites Work

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• Projected Multivariate Linear Models for Directional Data
• Identifiability, Improper Priors, and Gibbs Sampling for Generalized Linear Models
• Efficient parametrisations for normal linear mixed models
• Estimation of Parameters Subject to Order Restrictions on a Circle With Application to Estimation of Phase Angles of Cell Cycle Genes
• Longitudinal Data Analysis

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