Computation of Invariant Measures and Stationary Expectations for Markov Chains with Block-Band Transition Matrix
This paper deals with the computation of invariant measures and stationary expectations for discrete-time Markov chains governed by a block-structured one-step transition probability matrix. The method generalizes in some respect Neuts’ matrix-geometric approach to vector-state Markov chains. The me...
Saved in:
| Main Authors: | Hendrik Baumann, Thomas Hanschke |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2020/4318906 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Computing Hitting Probabilities of Markov Chains: Structural Results with regard to the Solution Space of the Corresponding System of Equations
by: Hendrik Baumann, et al.
Published: (2020-01-01) -
On the Stationary Measure for Markov Branching Processes
by: Anthony G. Pakes
Published: (2025-05-01) -
Global Central Limit Theorems for Stationary Markov Chains
by: Lin Michael
Published: (2025-05-01) -
Stationary Markov Equilibrium Strategies in Asynchronous Stochastic Games: Existence and Computation
by: Subir. K. Chakrabarti, et al.
Published: (2024-11-01) -
Computing the Matrix G of Multi-Dimensional Markov Chains of M/G/1 Type
by: Valeriy Naumov, et al.
Published: (2025-04-01)