A non-parametric Bayesian change-point method for recurrent events
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Publication:5033450
DOI10.1080/00949655.2020.1792907OpenAlexW3044946200MaRDI QIDQ5033450
Inyoung Kim, Feng Guo, Qing Li
Publication date: 23 February 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1246&context=imse_pubs
clusteringDirichlet process mixture modelnon-homogeneous Poisson processnaturalistic studyteenage driving risk
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Bayesian change-points detection assuming a power law process in the recurrent-event context ⋮ Copula-frailty models for recurrent event data based on Monte Carlo EM algorithm
Uses Software
Cites Work
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