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Name EntryDate Details
Markov Chains and Stochastic Stability 2007-06-17 20:38:19 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.
License: Unknown
Type: Book
Format: PDF
Price: Free
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:
  • Heuristics
  • Markov Models
  • Transition Probabilities
  • Irreducibility
  • Pseudo-atoms
  • 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
  • Ergodicity
  • f-Ergodicity and f-Regularity
  • Geometric Ergodicity
  • V-Uniform Ergodicity
  • Sample Paths and Limit Theorems
  • Positivity
  • Generalized Classification Criteria
  • Mud Maps
  • Testing for Stability
  • A Glossary of Model Assumptions
  • Some Mathematical Background

Keywords: stability , probability , mathematics , Markov models
Submitter: EE HomePage Editorial Staff
Affiliation: None
xml_ID: 1182137899 (single entry page)