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Optimal stopping information


In mathematics, the theory of optimal stopping[1][2] or early stopping[3] is concerned with the problem of choosing a time to take a particular action, in order to maximise an expected reward or minimise an expected cost. Optimal stopping problems can be found in areas of statistics, economics, and mathematical finance (related to the pricing of American options). A key example of an optimal stopping problem is the secretary problem. Optimal stopping problems can often be written in the form of a Bellman equation, and are therefore often solved using dynamic programming.

  1. ^ Chow, Y.S.; Robbins, H.; Siegmund, D. (1971). Great Expectations: The Theory of Optimal Stopping. Boston: Houghton Mifflin.
  2. ^ Ferguson, Thomas S. (2007). Optimal Stopping and Applications. UCLA.
  3. ^ Hill, Theodore P. (2009). "Knowing When to Stop". American Scientist. 97 (2): 126–133. doi:10.1511/2009.77.126. ISSN 1545-2786. S2CID 124798270.
    (For French translation, see cover story in the July issue of Pour la Science (2009).)

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value of the option to try again. Mathematically, search models are optimal stopping problems. Macroeconomists have extended search theory by studying general...

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