Estimation for semi-Markov models with partial observations via self-consistency equations

DOI10.1080/02331880600766688zbMath1098.62125OpenAlexW1999475529MaRDI QIDQ3409017

Odile Pons

Publication date: 7 November 2006

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331880600766688

zbMATH Keywords

Censoring, Self-consistency, Semi-Markov process, Truncation

Mathematics Subject Classification ID

Density estimation (62G07) Nonparametric estimation (62G05) Censored data models (62N01) Markov processes: estimation; hidden Markov models (62M05) Estimation in survival analysis and censored data (62N02) Applications of Markov renewal processes (reliability, queueing networks, etc.) (60K20)

Cites Work

• Unnamed Item
• Strong consistency of a nonparametric estimator of the survival function with doubly censored data
• Semi-parametric estimation for a semi-Markov process with left-truncated and right-censored observations
• Random truncation models and Markov processes
• Nonparametric estimation based on censored observations of a Markov renewal process
• Nonparametric Estimation of a Survivorship Function with Doubly Censored Data
• Estimating a distribution function with truncated data

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