Bayesian non-homogeneous cumulative probability models for ordinal data from designed experiments

DOI10.1080/03610926.2020.1851719OpenAlexW3111071942MaRDI QIDQ5095989

I-Tang Yu

Publication date: 12 August 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2020.1851719

zbMATH Keywords

Gaussian processBayesian estimationordinal response

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• gologit2

Cites Work

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• Statistical decision theory and Bayesian analysis. 2nd ed
• The design and analysis of computer experiments.
• Bayesian model selection in ordinal quantile regression
• The analysis of ordered categorical data: An overview and a survey of recent developments. (With discussion)
• Bayesian Analysis of Ordered Categorical Data from Industrial Experiments
• Gaussian process emulation of dynamic computer codes
• Partial Proportional Odds Models for Ordinal Response Variables
• Ordinal Data Modeling
• Bayesian quantile regression for ordinal longitudinal data
• Bayesian Analysis of Binary and Polychotomous Response Data

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