The semi-Markov beta-Stacy process: a Bayesian non-parametric prior for semi-Markov processes.

Author:

Arfè AndreaORCID,Peluso Stefano,Muliere Pietro

Publisher

Springer Science and Business Media LLC

Subject

Statistics and Probability

Reference43 articles.

1. Arfè A (2020) Bayesian methods for the design and analysis of complex follow-up studies. Ph.D. thesis, Bocconi University, Milan, Italy

2. Arfè A, Peluso P, Muliere P (2018) Reinforced urns and the subdistribution beta-stacy process prior for competing risks analysis. Scand J Statist 46:706–734

3. Barbu V, Boussemart M, Limnios N (2004) Discrete-time semi-Markov model for reliability and survival analysis. Commun Statist Theory Methods 33:2833–2868

4. Barbu V, Limnios N (2009) Semi-Markov chains and hidden semi-Markov models toward applications : their use in reliability and DNA analysis. Lecture notes in statistics. Springer, New York

5. Blackwell D, MacQueen JB (1973) Ferguson distributions via polya urn schemes. Ann Statist 1:353–355

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1. Hypotheses testing and posterior concentration rates for semi-Markov processes;Statistical Inference for Stochastic Processes;2021-07-02

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