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
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580952