DocumentCode
2254564
Title
Markov property of Markov chains and its test
Author
Zhang, Yu-Fwn ; Zhang, Qun-Feng ; Yu, Rui-Hua
Author_Institution
Key Lab. for Machine Learning & Comput. Intell., Hebei Univ., Baoding, China
Volume
4
fYear
2010
fDate
11-14 July 2010
Firstpage
1864
Lastpage
1867
Abstract
Markov chains, with Markov property as its essence, are widely used in the fields such as information theory, automatic control, communication techniques, genetics, computer sciences, economic administration, education administration, and market forecasts. While using Markov chains to predict the future events, we must test the Markov property of random variable sequences of the past statistic data. Only when the random variable sequences satisfy the Markov property, can the prediction could be precise. This paper discusses the concept of Markov property and its features, studies its test method, and by example demonstrates the effectiveness of this prediction method.
Keywords
Markov processes; forecasting theory; random sequences; Markov chains; Markov property; random variable sequence; Biological system modeling; Machine learning; Markov processes; Prediction methods; Random variables; Water resources; Markov property; Random variable sequences; Stochastic process; X2 test;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5580952
Filename
5580952
Link To Document