Literature DB >> 24761134

Chernoff's density is log-concave.

Fadoua Balabdaoui1, Jon A Wellner2.   

Abstract

We show that the density of Z = argmax{W (t) - t2}, sometimes known as Chernoff's density, is log-concave. We conjecture that Chernoff's density is strongly log-concave or "super-Gaussian", and provide evidence in support of the conjecture.

Entities:  

Keywords:  Brownian motion; Polya frequency function; Prekopa–Leindler theorem; Schoenberg’s theorem; airy function; correlation inequalities; hyperbolically monotone; log-concave; monotone function estimation; slope process; strongly log-concave

Year:  2014        PMID: 24761134      PMCID: PMC3993999          DOI: 10.3150/12-BEJ483

Source DB:  PubMed          Journal:  Bernoulli (Andover)        ISSN: 1350-7265            Impact factor:   1.595


  1 in total

1.  Limit Distribution Theory for Maximum Likelihood Estimation of a Log-Concave Density.

Authors:  Fadoua Balabdaoui; Kaspar Rufibach; Jon A Wellner
Journal:  Ann Stat       Date:  2009-06-01       Impact factor: 4.028

  1 in total
  3 in total

1.  A law of the iterated logarithm for Grenander's estimator.

Authors:  Lutz Dümbgen; Jon A Wellner; Malcolm Wolff
Journal:  Stoch Process Their Appl       Date:  2016-04-29       Impact factor: 1.467

2.  On convex least squares estimation when the truth is linear.

Authors:  Yining Chen; Jon A Wellner
Journal:  Electron J Stat       Date:  2016-02-17       Impact factor: 1.125

3.  Log-Concavity and Strong Log-Concavity: a review.

Authors:  Adrien Saumard; Jon A Wellner
Journal:  Stat Surv       Date:  2014-12-09
  3 in total

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