Markov models for duration-dependent transitions: selecting the states using duration values or duration intervals?
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Publication:2111318
DOI10.1007/S10260-022-00637-2OpenAlexW3197014694MaRDI QIDQ2111318
Marie-Anne Guerry, Philippe Carette
Publication date: 13 January 2023
Published in: Statistical Methods and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10260-022-00637-2
Cites Work
- Unnamed Item
- Homogeneous semi-Markov reliability models for credit risk management
- Semi-Markov chains and hidden semi-Markov models toward applications. Their use in reliability and DNA analysis.
- Estimating the dimension of a model
- Analysing plant closure effects using time-varying mixture-of-experts Markov chain clustering
- Hidden semi-Markov models for predictive maintenance
- A comparison of some criteria for states selection in the latent Markov model for longitudinal data
- Modelling heterogeneity in a manpower system: a review
- Latent Markov Models for Longitudinal Data
- Modelling heterogeneity in manpower planning: dividing the personnel system into more homogeneous subgroups
- Non‐homogeneity and transition probabilities of a Markov chain
- On Some Criteria for Estimating the Order of a Markov Chain
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