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Markov Chains pp 141-176 | Cite as

Higher-Order Markov Chains

  • Wai-Ki Ching
  • Ximin Huang
  • Michael K. Ng
  • Tak-Kuen Siu
Chapter
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 189)

Abstract

Data sequences or time series occur frequently in many real world applications. One of the most important steps in analyzing a data sequence (or time series) is the selection of an appropriate mathematical model for the data. This is because it helps in predictions, hypothesis testing and rule discovery.

Keywords

Markov Chain Linear Programming Problem Risky Asset Markov Chain Model Hide Markov Chain 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Wai-Ki Ching
    • 1
  • Ximin Huang
    • 2
  • Michael K. Ng
    • 3
  • Tak-Kuen Siu
    • 4
  1. 1.Department of MathematicsThe University of Hong KongHong KongHong Kong, SAR
  2. 2.College of ManagementGeorgia Institute of TechnologyAtlantaUSA
  3. 3.Department of MathematicsHong Kong Baptist UniversityKowloon TongHong Kong SAR
  4. 4.Cass Business SchoolCity University LondonLondonUK

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