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Odds algorithm

In decision theory, the odds algorithm (or Bruss algorithm) is a mathematical method for computing optimal strategies for a class of problems that belong to the domain of optimal stopping problems. Their solution follows from the odds strategy, and the importance of the odds strategy lies in its optimality, as explained below.

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Map overview Semantic statistics

Odds algorithm

Nodes22
Edges21
Triples28
Avg. degree1.91
Density0.090909
Components1

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Odds algorithm

Top relations

has application · 11
Odds algorithm → Applications, Bruss, Example, Ferguson, Generalizations, In, Odds Theorem, Poisson, The, There, This
related to Definitions · 7
Odds algorithm → Associate, Consider, Further, Here, Let, Note, These
related to Features · 3
Odds algorithm → Also, Hence, The
related to Sources · 3
Odds algorithm → Bruss, Free, It
related to Algorithmic procedure · 2
Odds algorithm → If, The
related to Odds strategy · 1
Odds algorithm → The

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Important terminology

odds displaystyle probability problem last algorithm stopping ano bruss strategy doi optimal theorem 10 sequence event problems win lower matsui

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
the Poisson processinstance ofan Odds Theorem for continuous-time arrival processes with independent increments0.80text
Odds algorithmhas applicationApplications0.60section
Odds algorithmhas applicationThere0.60section
Odds algorithmhas applicationOdds Theorem0.60section
Odds algorithmhas applicationPoisson0.60section
Odds algorithmhas applicationBruss0.60section
Odds algorithmhas applicationIn0.60section
Odds algorithmhas applicationExample0.60section
Odds algorithmhas applicationThis0.60section
Odds algorithmhas applicationThe0.60section
Odds algorithmhas applicationGeneralizations0.60section
Odds algorithmhas applicationFerguson0.60section

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