Information Measures for Discrete Random Fields

Information Measures for Discrete Random Fields,Z. Ye,T. Berger

Information Measures for Discrete Random Fields (Citations: 24)


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Published in 1998.

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Citation Context (12)

- ...[1],[2],[3]). In this paper , Many strong deviation theorems for markov chains on a non-homogeneous tree are obtained by constructing a nonnegative supermartingale and using Doob’s martingale convergence theorem...
Shaohua Jin, et al. Many Strong Deviation Theorems for Markov Chains on a Non-homogeneous ...
- ...[2] and [3] ). Yang Weiguo has studied the strong limit theorems on the homogeneous tree (c.f...
Jin Shaohua, et al. A Strong Law of Large Numbers for Markov Chain Fields on a Special Non...
- ...[1],[2],[3]). This paper brings in relative entropy ratio of sample as a measure of deviation between arbitrary random field and Markov random fields of order two on a nonhomogeneous tree, and gives a strong deviation theorem on arbitrary probability measure of (Ω,F) by constructing a martingale and using Doob’s martingale convergence theorem...
Jin Shao-hua, et al. The Approximation to the Random Fields Indexed by a Non-homogeneous Tr...
- ...Ye and Berger [5,6] , by using Pemantle’s result [7] and...
Huilin Huang, et al. Strong law of large numbers for Markov chains indexed by an infinite t...
- ...These results where later extended in [16] to the probabilistic setting, where it was shown that this algorithm is also universal for any stationary Markov random field [17]...
Asaf Cohen, et al. Scanning and Sequential Decision Making for MultiDimensional Data - Pa...

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