DocumentCode
523911
Title
Many Strong Deviation Theorems for Markov Chains on a Non-homogeneous Tree
Author
Jin, Shaohua ; Yan, Lu ; Wan, Yanping ; Jin, Shasha ; Sun, Shuguang
Author_Institution
Hebei Univ. of Technol., Tianjin, China
Volume
2
fYear
2010
fDate
11-12 May 2010
Firstpage
629
Lastpage
632
Abstract
The strong deviation theorem is one of the central questions for studying in the international Probability theory. In this paper, Many strong deviation theorems for Markov chains on a non-homogeneous tree are obtained by constructing a nonnegative super martingale and using Doob´s martingale convergence theorem.
Keywords
Markov processes; convergence; trees (mathematics); Doob martingale convergence theorem; Markov chains; international probability theory; nonhomogeneous tree; strong deviation theorems; Automation; Convergence; Random variables; State-space methods; Sun; Wide area networks; generalized geometric distribution; markov chains; martingale; non-homogeneous tree; strong deviation theorem;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-7279-6
Electronic_ISBN
978-1-4244-7280-2
Type
conf
DOI
10.1109/ICICTA.2010.192
Filename
5523380
Link To Document