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  Negative dependence through the FKG Inequality

Dubhashi, D. P., Priebe, V., & Ranjan, D.(1996). Negative dependence through the FKG Inequality (MPI-I-1996-1-020). Saarbrücken: Max-Planck-Institut für Informatik.

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1996-1-020 (Any fulltext), 10KB
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1996-1-020
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Dubhashi, Devdatt P.1, Author
Priebe, Volker2, Author           
Ranjan, Desh2, Author           
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1External Organizations, ou_persistent22              
2Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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 Abstract: We investigate random variables arising in occupancy problems, and show the variables to be negatively associated, that is, negatively dependent in a strong sense. Our proofs are based on the FKG correlation inequality, and they suggest a useful, general technique for proving negative dependence among random variables. We also show that in the special case of two binary random variables, the notions of negative correlation and negative association coincide.

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Language(s): eng - English
 Dates: 1996
 Publication Status: Issued
 Pages: 10 p.
 Publishing info: Saarbrücken : Max-Planck-Institut für Informatik
 Table of Contents: -
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 Identifiers: URI: http://domino.mpi-inf.mpg.de/internet/reports.nsf/NumberView/1996-1-020
Report Nr.: MPI-I-1996-1-020
BibTex Citekey: DubhashiPriebeRanjan96
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Title: Research Report / Max-Planck-Institut für Informatik
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