Abstract
We study the empirical process, where F is a class of mean-zero functions on a probability space (Ω, μ), and are selected independently according to μ. We present a sharp bound on this supremum that depends on the Ψ1 diameter of the class F (rather than on the Ψ2 one) and on the complexity parameter γ2(F,Ψ2). In addition, we present optimal bounds on the random diameters using the same parameters. As applications, we extend several well-known results in Asymptotic Geometric Analysis to any isotropic, log-concave ensemble on ℝn.
| Original language | English |
|---|---|
| Pages (from-to) | 988-1027 |
| Number of pages | 40 |
| Journal | Geometric and Functional Analysis |
| Volume | 20 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2010 |
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