A Bayesian mixture model for changepoint estimation using ordinal predictors

DOI10.1515/IJB-2020-0151MaRDI QIDQ6637077

Li-Li Zhao, Author name not available (Why is that?)

Publication date: 13 November 2024

Published in: The International Journal of Biostatistics (Search for Journal in Brave)

zbMATH Keywords

changepointsmixture modelBayesian methodsregression modelordinal predictors

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Title not available (Why is that?)
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• Title not available (Why is that?)
• Title not available (Why is that?)
• Cox's regression model for counting processes: A large sample study
• Maximally selected chi-squared statistics and non-monotonic associations: an exact approach based on two cutpoints
• Inference from iterative simulation using multiple sequences
• Bayesian effect fusion for categorical predictors
• The horseshoe estimator for sparse signals
• Bayesian variable selection with related predictors
• Estimating the Current Mean of a Normal Distribution which is Subjected to Changes in Time
• Penalized regression with ordinal predictors

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