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Bayesian multiple change-point estimation for exponential distribution with truncated and censored data

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Publication:5349122
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DOI10.1080/03610926.2016.1161797zbMath1462.62179OpenAlexW2482417070MaRDI QIDQ5349122

Chaobing He

Publication date: 23 August 2017

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

Full work available at URL: https://doi.org/10.1080/03610926.2016.1161797


zbMATH Keywords

MCMC methodsGibbs samplingtruncated and censored datarejection sampling methodfull conditional distributioncomplete-data likelihood function


Mathematics Subject Classification ID

Censored data models (62N01) Bayesian inference (62F15) Sampling theory, sample surveys (62D05)


Related Items (2)

Detection of multiple change-points in the scale parameter of a gamma distributed sequence based on reversible jump MCMC ⋮ Asymptotic properties of \(M\)-estimators based on estimating equations and censored data in semi-parametric models with multiple change points




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