Let {Xj}j=1[infinity] be a stationary Gaussian sequence of random vectors with mean zero. We study the convergence in distribution of an-1[summation operator]j=1n (G(Xj)-E[G(Xj)]), where G is a real function in with finite second moment and {an} is a sequence of real numbers converging to...

Some laws of the iterated logarithm for empirical processes rescaled in the "time" parameter are presented. These laws of the iterated logarithm are applied to obtain strong limit theorems for M-estimators. In particular, a law of the iterated logarithm for M-estimators with unusual rates of...

The law of the iterated logarithm for canonical or completely degenerate U-statistics with square integrable kernel h is proved, for h taking values in 1, 7 and, in general, in a type 2 separable Banach space. The LIL is also obtained for U-processes indexed by canonical Vapnik-Cervonenkis...

We give some easy methods to check sufficient conditions for the weak convergence of stochastic processes indexed by smooth functions. The main condition is a moment condition on the increments of the process. We apply this to empirical processes and U-processes in the independent identically...

We study the weak convergence for the row sums of a triangular array of empirical processes under bracketing conditions involving majorizing measures. As an application, we consider the weak convergence of stochastic processes of the form where {Xj}j=1[infinity] is a sequence of i.i.d.r.v.s with...

Exponential inequalities, the law of the iterated logarithm and the bootstrap central limit theorem for U-processes indexed by Vapnik-Cervonenkis classes of functions are derived. These results are then applied to the asymptotics and the bootstrap of U-statistics with estimated parameters, in...