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meyn s markov chains stochastic stability 2ed 2009

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Textbook in PDF format Communication and Regeneration Heuristics Markov models Transition probabilities Irreducibility Pseudo-atoms Topology and continuity The nonlinear state space model Stability Structures Transience and recurrence Harris and topological recurrence The existence of π Drift and regularity Invariance and tightness Convergence Ergodicity f-Ergodicity and f-regularity Geometric ergodicity V -Uniform ergodicity Sample paths and limit theorems Positivity Generalized classification criteria Epilogue to the second edition Appendices Mud maps Testing for stability Glossary of model assumptions Some mathematical background

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Meyn S. Markov Chains and Stochastic Stability 2ed 2009.pdf 6.9 MB

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meyn s markov chains stochastic stability 2ed 2009

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