DocumentCode :
2305383
Title :
On the Transition Law of O -- U Compound Poisson Processes
Author :
Zhang, Shibin ; Sheng, Zining ; Deng, Wei
Author_Institution :
Dept. of Math., Shanghai Maritime Univ., Shanghai, China
fYear :
2011
fDate :
25-27 April 2011
Firstpage :
260
Lastpage :
263
Abstract :
O-U compound Poisson processes, as a new category of processes of Ornstein--Uhlenbeck type, are put forward in this paper. These processes are a generalization of gamma O--U processes. By dealing with the characteristic function of the transition distribution function, the transition law of the O--U compound Poisson process is expressed by a sum of Poisson-distributed number of random variables, which are independent identically-distributed and have the common known density function. And we also obtain the expressions of both the transition function and the transition density of the process. The conclusions in this paper are the theoretical foundations for further researches on statistical inference of the process.
Keywords :
Markov processes; Poisson distribution; gamma distribution; inference mechanisms; random processes; O-U compound Poisson process; Ornstein-Uhlenbeck compound Poisson process; Poisson distributed number; density function; gamma O- U processes; independent identically distributed random variables; statistical process inference; transition distribution function; Compounds; Density functional theory; Distribution functions; Estimation; Probability density function; Random variables; O–CU compound Poisson process; gamma O–U process; transition function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Computing (ICIC), 2011 Fourth International Conference on
Conference_Location :
Phuket Island
Print_ISBN :
978-1-61284-688-0
Type :
conf
DOI :
10.1109/ICIC.2011.11
Filename :
5954555
Link To Document :
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