• 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