Two-stage circular-circular regression with zero inflation: application to medical sciences

DOI10.1214/20-AOAS1429zbMath1478.62330arXiv1901.05178MaRDI QIDQ2247479

Jayant Jha, Prajamitra Bhuyan

Publication date: 17 November 2021

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1901.05178

zbMATH Keywords

astigmatismMetropolis-Hastings algorithmlatent variableabnormal gaitrose diagramtruncated wrapped Cauchy

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) General nonlinear regression (62J02)

Uses Software

• CircStats
• circular

Cites Work

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• Shadow Prices, Market Wages, and Labor Supply
• Sample Selection Bias as a Specification Error
• A decentred predictor for circular-circular regression
• Circular regression
• Multiple circular–circular regression
• A Bayesian two-stage regression approach of analysing longitudinal outcomes with endogeneity and incompleteness
• Circular piecewise regression with applications to cell‐cycle data

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