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Optimal stopping of random sequences and processes

  • Dmytro Gusak
  • Alexander Kukush
  • Alexey Kulik
  • Yuliya Mishura
  • Andrey Pilipenko
Chapter
Part of the Problem Books in Mathematics book series (PBM)

Abstract

The optimal stopping problem can be considered for nearly any stochastic process, and its formulation will be similar in each case. But its solution will be relatively simple only for a few processes. One class of such processes consists of discrete-time Markov chains.

Keywords

Wiener Process Excessive Function Logarithmic Capacity Superharmonic Function Homogeneous 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.

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Dmytro Gusak
    • 1
  • Alexander Kukush
    • 2
  • Alexey Kulik
    • 1
  • Yuliya Mishura
    • 3
  • Andrey Pilipenko
    • 1
  1. 1.Institute of Mathematics of Ukrainian National Academy of SciencesKyivUkraine
  2. 2.Department of Mathematical Analysis Faculty of Mechanics and MathematicsNational Taras Shevchenko University of KyivKyivUkraine
  3. 3.Department of Probability Theory and Mathematical Statistics Faculty of Mechanics and MathematicsNational Taras Shevchencko University of KyivKyivUkraine

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