DocumentCode :
2524727
Title :
Researches on Properties of Generalized Normalization Coefficient in NML Distribution
Author :
Zhou, Fucai ; Sun, Ping ; Wang, Jinying
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Volume :
3
fYear :
2006
fDate :
Aug. 30 2006-Sept. 1 2006
Firstpage :
38
Lastpage :
41
Abstract :
In coding theory the minimum description length principle plays a very important role. And the most important conception in minimum description length is stochastic complexity. In order to compute the stochastic complexity of some certain normalized maximum likelihood distribution, it is important to know the properties of Cn, which denotes the normalization coefficient in the universal normalized maximum likelihood distribution. In this paper, an integral expression of Cn in the Gama model class is proposed by the generation function. In this way we can solve some problems by this method. And we also define a generalized normalization coefficient Cn,k and present some properties about it
Keywords :
encoding; maximum likelihood estimation; statistical distributions; stochastic processes; Gama model class; coding theory; generalized normalization coefficient; generation function; integral expression; minimum description length principle; stochastic complexity; universal normalized maximum likelihood distribution; Codes; Data compression; Distributed computing; Information science; Information theory; Maximum likelihood decoding; Maximum likelihood estimation; Probability; Stochastic processes; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
Type :
conf
DOI :
10.1109/ICICIC.2006.509
Filename :
1692111
Link To Document :
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