Subexponential asymptotics of asymptotically block-Toeplitz and upper block-Hessenberg Markov chains
Author:
Funder
Japan Society for the Promotion of Science
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Management Science and Operations Research,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11134-022-09857-5.pdf
Reference30 articles.
1. Neuts, M.F.: Structured Stochastic Matrices of M/G/1 Type and Their Applications. Marcel Dekker, New York (1989)
2. He, Q.-M.: Fundamentals of Matrix-Analytic Methods. Springer, New York (2014)
3. Masuyama, H.: A new matrix-infinite-product-form solution for upper block-Hessenberg Markov chains and its quasi-algorithmic constructibility. To appear in Advances in Applied Probability 55(1), March 2023 (arXiv:1904.11199v6) (2023)
4. Masuyama, H.: A sequential update algorithm for computing the stationary distribution vector in upper block-Hessenberg Markov chains. Queueing Syst. 92(1–2), 173–200 (2019)
5. Kimura, M., Takine, T.: Computing the conditional stationary distribution in Markov chains of level-dependent M/G/1-type. Stoch. Models 34(2), 207–238 (2018)
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