scholarly journals Renewal theory for transient Markov chains with asymptotically zero drift

2020 ◽  
Vol 373 (10) ◽  
pp. 7253-7286
Author(s):  
Denis Denisov ◽  
Dmitry Korshunov ◽  
Vitali Wachtel
1981 ◽  
Vol 104 (1) ◽  
pp. 119-128 ◽  
Author(s):  
Laurie Davies ◽  
Rudolf Grübel
Keyword(s):  

1988 ◽  
Vol 25 (A) ◽  
pp. 257-274
Author(s):  
N. U. Prabhu

We develop a theory of semiregenerative phenomena. These may be viewed as a family of linked regenerative phenomena, for which Kingman [6], [7] developed a theory within the framework of quasi-Markov chains. We use a different approach and explore the correspondence between semiregenerative sets and the range of a Markov subordinator with a unit drift (or a Markov renewal process in the discrete-time case). We use techniques based on results from Markov renewal theory.


1988 ◽  
Vol 25 (A) ◽  
pp. 257-274 ◽  
Author(s):  
N. U. Prabhu

We develop a theory of semiregenerative phenomena. These may be viewed as a family of linked regenerative phenomena, for which Kingman [6], [7] developed a theory within the framework of quasi-Markov chains. We use a different approach and explore the correspondence between semiregenerative sets and the range of a Markov subordinator with a unit drift (or a Markov renewal process in the discrete-time case). We use techniques based on results from Markov renewal theory.


1994 ◽  
Vol 26 (4) ◽  
pp. 988-1005 ◽  
Author(s):  
Bernard Van Cutsem ◽  
Bernard Ycart

This paper studies the absorption time of an integer-valued Markov chain with a lower-triangular transition matrix. The main results concern the asymptotic behavior of the absorption time when the starting point tends to infinity (asymptotics of moments and central limit theorem). They are obtained using stochastic comparison for Markov chains and the classical theorems of renewal theory. Applications to the description of large random chains of partitions and large random ordered partitions are given.


2019 ◽  
Vol 24 (0) ◽  
Author(s):  
Nicholas Georgiou ◽  
Mikhail V. Menshikov ◽  
Dimitri Petritis ◽  
Andrew R. Wade

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