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Asymptotic independence for unimodal densities

  • Guus Balkema (a1) and Natalia Nolde (a2)
Abstract

Asymptotic independence of the components of random vectors is a concept used in many applications. The standard criteria for checking asymptotic independence are given in terms of distribution functions (DFs). DFs are rarely available in an explicit form, especially in the multivariate case. Often we are given the form of the density or, via the shape of the data clouds, we can obtain a good geometric image of the asymptotic shape of the level sets of the density. In this paper we establish a simple sufficient condition for asymptotic independence for light-tailed densities in terms of this asymptotic shape. This condition extends Sibuya's classic result on asymptotic independence for Gaussian densities.

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Copyright
Corresponding author
Postal address: Department of Mathematics, University of Amsterdam, Science Park 904, 1098XH Amsterdam, The Netherlands. Email address: a.a.balkema@uva.nl
∗∗ Postal address: Department of Mathematics and RiskLab, ETH Zürich, Raemistrasse 101, 8092 Zürich, Switzerland. Email address: natalia.lysenko@math.ethz.ch
References
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Advances in Applied Probability
  • ISSN: 0001-8678
  • EISSN: 1475-6064
  • URL: /core/journals/advances-in-applied-probability
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