On combinatorial testing problems
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In this joint work with Luc Devroye, Louigi Addario-Berry and Nicolas
Broutin, we study a class of hypothesis testing problems in which,
upon observing the realization of an n-dimensional Gaussian vector,
one has to decide whether the vector was drawn from a standard normal
distribution or, alternatively, whether there is a subset of the
components belonging to a certain given class of sets whose elements
have been ?contaminated,? that is, have a mean different from zero. We
establish some general conditions under which testing is possible and
others under which testing is hopeless with a small risk. The
combinatorial and geometric structure
of the class of sets is shown to play a crucial role. The bounds are
illustrated on various examples.
http://www.barcelonagse.eu/Faculty.php?id=129
This talk is part of the Statistics series.
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