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Specific Reference Information
Entries 1 through 1 of 1 were returned.
|Markov Chains and Stochastic Stability
Description: "Markov Chains and Stochastic Stability", by Meyn & Tweedie is an online text discussing the structure and stability of Markovian models. Markov models are sometimes used in performance and network modeling. |
Author(s): Meyn, S.P.
& Tweedie, R. L.
URL: http://probability.ca/ MT/
ReviewText: This 568 page text can be downloaded as a single postscript or PDF, or chapter by chapter. These include:
- Markov Models
- Transition Probabilities
- Topology and Continuity
- The Nonlinear State Space Model
- Transience and Recurrence
- Harris and Topological Recurrence
- The Existence of pi
- Drift and Regularity
- Invariance and Tightness
- f-Ergodicity and f-Regularity
- Geometric Ergodicity
- V-Uniform Ergodicity
- Sample Paths and Limit Theorems
- Generalized Classification Criteria
- Mud Maps
- Testing for Stability
- A Glossary of Model Assumptions
- Some Mathematical Background
, Markov models
Submitter: EE HomePage Editorial Staff
xml_ID: 1182137899 (single entry page)