Almost optimal convergence rates for kernel density estimation under association

摘要

Exponential inequalities for associated variables are derived under anassumption milder than the absolute continuity of joint distributions of the samplevariables. This inequality is used to prove convergence rates for the kernel estimatorfor the density which are just slightly slower than the optimal rates known formindependent samples.