We investigate the almost sure convergence of a kernel-type conditional empirical distribution function both in sup-norm and weighted sup-norms. As an application we get a strong law for the Nadaraya-Watson estimate of a regression function m(x) = E(Y X = x) under a weak moment condition on Y.
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Winfried Stute (1986) studied this question.
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