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Markov Chains and Stochastic Stability
other
Author(s):
Sean P. Meyn
,
Richard L. Tweedie
Publication date
(Print):
1993
Publisher:
Springer London
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Book
ISBN (Print):
978-1-4471-3269-1
ISBN (Electronic):
978-1-4471-3267-7
Publication date (Print):
1993
DOI:
10.1007/978-1-4471-3267-7
SO-VID:
e39ecf95-6cd6-4bfd-912e-a39964364646
License:
http://www.springer.com/tdm
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Book chapters
pp. 3
Heuristics
pp. 23
Markov Models
pp. 54
Transition Probabilities
pp. 80
Irreducibility
pp. 100
Pseudo-Atoms
pp. 126
Topology and Continuity
pp. 149
The Nonlinear State Space Model
pp. 173
Transience and Recurrence
pp. 200
Harris and Topological Recurrence
pp. 229
The Existence of π
pp. 255
Drift and Regularity
pp. 285
Invariance and Tightness
pp. 309
Ergodicity
pp. 330
f-Ergodicity and f-Regularity
pp. 354
Geometric Ergodicity
pp. 382
V-Uniform Ergodicity
pp. 410
Sample Paths and Limit Theorems
pp. 446
Positivity
pp. 465
Generalized Classification Criteria
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