Markov Chains on Metric Spaces [electronic resource] A Short Course / by Michel Benaïm, Tobias Hurth.
This book gives an introduction to discrete-time Markov chains which evolve on a separable metric space. The focus is on the ergodic properties of such chains, i.e., on their long-term statistical behaviour. Among the main topics are existence and uniqueness of invariant probability measures, irredu...
| Uniform Title: | Universitext,
2191-6675 |
|---|---|
| Main Authors: | |
| Corporate Author: | |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2022.
|
| Edition: | 1st ed. 2022. |
| Series: | Universitext,
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| Subjects: | |
| Online Access: | |
| Variant Title: |
Markov Chains on Metric Spaces: A Short Course |
| Format: | Electronic eBook |
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