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Journal of Combinatorial Theory Series A
Article
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Journal of Combinatorial Theory Series A
Article . 1997
License: Elsevier Non-Commercial
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Journal of Combinatorial Theory Series A
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Ultra Logconcave Sequences and Negative Dependence

Ultra logconcave sequences and negative dependence
Authors: Thomas M. Liggett;

Ultra Logconcave Sequences and Negative Dependence

Abstract

A conjecture by Pemantle, that the convolution of ultra-logconcave sequences is ultra-logconcave, is proved. This is equivalent to the statement, that a suitable negative dependence property is preserved under the operation of sampling uniformly without replacement from two finite exchangeable Bernoulli sequences.

Keywords

ultra-logconcave sequence, Combinatorial probability, Special processes, Measures of association (correlation, canonical correlation, etc.), Computational Theory and Mathematics, Binomial coefficients; factorials; \(q\)-identities, Discrete Mathematics and Combinatorics, Probability distributions: general theory, negative dependence, Combinatorial identities, bijective combinatorics, Theoretical Computer Science

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
42
Top 10%
Top 10%
Average
hybrid