Distributional Properties of the Mixture of Continuous-Time Absorbing Markov Chains Moving at Different Speeds
Published Online:5 Feb 2018https://doi.org/10.1287/stsy.2017.0007
References
- (1995) Phase type distributions in survival analysis. Scand. J. Stat. 22(4):447–463.Google Scholar
- (2001) Understanding the shape of the hazard rate: A process point of view. Stat. Sci. 16(1):1–22.Google Scholar
- (2008) Survival and Event History Analysis: A Process Point of View (Springer, New York).Google Scholar
- (2010) Ruin Probabilities, 2nd ed. (World Scientific, Singapore).Google Scholar
- (1969) Explicit formulas for the exponential matrix etA. Am. Math. Mon. 76(3):289–292.Google Scholar
- (2003) Applied Probability and Queues, 2nd ed. (Springer, New York).Google Scholar
- (2004) Russian and American put options under exponential phase-type Lévy models. Stoch. Proc. Appl. 109(1):79–111.Google Scholar
- (1982) Closure of phase type distributions under operations arising in reliability theory. Ann. Probab. 10(1):265–269.Google Scholar
- (2014) Document queues and risk processes with dependencies. Stoch. Models 30(3):390–419.Google Scholar
- (1955) The industrial mobility of labor as a probability process. Cornell Stud. Ind. Labor Relat., Vol. 6 (Cornell University Press, Ithaca, NY).Google Scholar
- (2005) An Introduction to Queueing Theory and Matrix-Analytic Methods (Springer, Dordrecht, Netherlands).Google Scholar
- (2014) Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications (Springer International, Cham, Switzerland).Google Scholar
- (2014) Analysis of a multi-server queueing model with MAP arrivals of regular customers and phase type arrivals of special customers. Simul. Model. Pract. Th. 43:79–95.Google Scholar
- (1997) More explicit formulas for exponential matrix. Linear Algebra Appl. 262:131–163.Google Scholar
- (2001) Classical Competing Risks (Chapman & Hall, Boca Raton, FL).Google Scholar
- (2012) Multiperiod corporate default prediction—A forward intensity approach. J. Econometrics 170(1):191–209.Google Scholar
- (2010) Age and happiness: The U-bend of life. The Economist, (December 16th), http://www.economist.com/node/17722567.Google Scholar
- (1984) Maximum likelihood estimation in the mover-stayer model. J. Am. Stat. Assoc. 79(387):632–638.Google Scholar
- (2005) Estimation in the mixture of Markov chains moving with different speeds. J. Am. Stat. Assoc. 100(471):1046–1053.Google Scholar
- (2008) Credit rating dynamics and Markov mixture models. J. Bank. Financ. 32(6):1062–1075.Google Scholar
- (1997) A Markov model for the term structure of credit risk spreads. Rev. Financ. Stud. 10(2):481–523.Google Scholar
- (2002) The Statistical Analysis of Failure Time Data, 2nd ed. (John Wiley & Sons, Hoboken, NJ).Google Scholar
- (2012) Loss Models: From Data to Decisions, Vol. 715 (John Wiley & Sons, Hoboken, NJ).Google Scholar
- (2010) Modeling and evaluating insurance losses via mixtures of Erlang distributions. N. Am. Actuar. J. 14(1):107–130.Google Scholar
- (2007) Markov aging process and phase-type law of mortality. N. Am. Actuar. J. 11(4):92–109.Google Scholar
- (1975) Probability distributions of phase-type. Liber Amicorum Prof. Emiritus H. Florin (University of Louvain, Belgium), 173–206.Google Scholar
- (1981) Matrix-Geometric Solutions in Stochastic Models (Johns Hopkins University Press, Baltimore).Google Scholar
- (1989) On non-uniqueness of representations of phase-type distributions. Commun. Statist.-Stochastic Models 5(2):247–259.Google Scholar
- (1990) Characterization of phase-type distributions. Commun. Statist.-Stochastic Models 6(1):1–57.Google Scholar
- (2015) Phase-type software reliability model: Parameter estimation algorithms with grouped data. Ann. Oper. Res. 244(1):177–208.Google Scholar
- (1998) Stochastic Processes for Insurance and Finance (John Willey & Sons, Chichester, UK).Google Scholar
- (1994) Stochastic Models: An Algorithm Approach (John Wiley & Sons, Chichester, UK).Google Scholar

