University of Cambridge > > Statistics > High-dimensional sign tests for the direction of a skewed single-spiked distribution

High-dimensional sign tests for the direction of a skewed single-spiked distribution

Add to your list(s) Download to your calendar using vCal

  • UserDavy Paindaveine, Universit√© Libre de Bruxelles
  • ClockFriday 22 February 2019, 16:00-17:00
  • HouseMR12.

If you have a question about this talk, please contact Dr Sergio Bacallado.

We consider the problem of testing the null hypothesis that the direction theta of a skewed single-spiked high-dimensional distribution coincides with a given direction theta_0. For robustness purposes, we restrict to spatial sign tests, that is, to tests that involve the observations only through their projections onto the unit sphere. This reduces the problem to a classical problem in directional statistics, namely to the spherical location testing problem, for which the Watson test is the standard procedure. We study the asymptotic null and non-null behaviours of this test, in a general asymptotic framework where the dimension converges to infinity in an arbitrary way as a function of the sample size n. We also allow the strength of the signal to behave in a completely free way with n, which provides a complete spectrum of problems ranging from arbitrarily challenging to arbitrarily easy problems. Our results identify several asymptotic regimes leading to different limiting asymptotic experiments. Asymptotically optimal tests are obtained in each regime. Monte Carlo studies support our theoretical results.

This talk is part of the Statistics series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2024, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity