Journal article
One-sided Markov additive processes with lattice and non-lattice increments
J Ivanovs, G Latouche, P Taylor
Stochastic Processes and their Applications | Elsevier BV | Published : 2025
Abstract
Dating from the work of Neuts in the 1980s, the field of matrix-analytic methods has been developed to analyse discrete or continuous-time Markov chains with a two-dimensional state space in which the increment of a level variable is governed by an auxiliary phase variable. More recently, matrix-analytic techniques have been applied to general Markov additive models with a finite phase space. The basic assumption underlying these developments is that the process is skip-free (in the case of QBDs or fluid queues) or that it is one-sided, that is it is jump-free in one direction. From the Markov additive perspective, traditional matrix-analytic models can be viewed as special cases: for M/G/1 ..
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Awarded by Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers