AbstractWe establish Chung–Mogulskii type functional laws of the iterated logarithm for medium and large increments of the uniform empirical and quantile processes. This gives the ultimate sup-norm distance between various sets of properly normalized empirical increment processes and a fixed function of the relevant cluster sets. Interestingly, we obtain the exact rates and constants even for most functions of the critical border of Strassen type balls and further introduce minimal entropy conditions on the locations of the increments under which the fastest rates are achieved with probability one. Similar results are derived for the Brownian motion and other related processes
AbstractLet {αn(t),0⩽t⩽1} and {βn(t),0⩽t⩽1} be the empirical and quantile processes generated by the...
AbstractStochastic measures of the distance between a density f and its estimate fn have been used t...
The Smoluchowski equations, which describe coalescence growth, take into account combination reactio...
AbstractWe establish Chung–Mogulskii type functional laws of the iterated logarithm for medium and l...
International audienceFollowing the works of Berthet [2, 3], we first obtain exact dustering rates i...
International audienceThe aim of this note is to prove estimates on mean values of the number of tim...
International audienceLet (Y i , Z i) i≥1 be a sequence of independent, identically distributed (i.i...
We establish rates of convergence of solutions to scaling (or similarity) profiles in a coagulation ...
AbstractFor n ⩾ 2 an (n − 1)-parameter real process Vn, called stochastic volume, is defined. This p...
AbstractWe approximate the empirical process, based on multivariate random samples with an arbitrary...
AbstractLet (Xij) be a double sequence of independent, identically distributed random variables, wit...
International audienceThe aim of this note is to prove estimates on mean values of the number of tim...
AbstractWe obtain rates of strong approximation of the empirical process indexed by functions by a B...
Consider the usual centered kernel density estimator on R^d, with the kernel varying into a class of...
We present a result about stochastic boundedness of stable empirical processes on Vapnik-Cervonenkis...
AbstractLet {αn(t),0⩽t⩽1} and {βn(t),0⩽t⩽1} be the empirical and quantile processes generated by the...
AbstractStochastic measures of the distance between a density f and its estimate fn have been used t...
The Smoluchowski equations, which describe coalescence growth, take into account combination reactio...
AbstractWe establish Chung–Mogulskii type functional laws of the iterated logarithm for medium and l...
International audienceFollowing the works of Berthet [2, 3], we first obtain exact dustering rates i...
International audienceThe aim of this note is to prove estimates on mean values of the number of tim...
International audienceLet (Y i , Z i) i≥1 be a sequence of independent, identically distributed (i.i...
We establish rates of convergence of solutions to scaling (or similarity) profiles in a coagulation ...
AbstractFor n ⩾ 2 an (n − 1)-parameter real process Vn, called stochastic volume, is defined. This p...
AbstractWe approximate the empirical process, based on multivariate random samples with an arbitrary...
AbstractLet (Xij) be a double sequence of independent, identically distributed random variables, wit...
International audienceThe aim of this note is to prove estimates on mean values of the number of tim...
AbstractWe obtain rates of strong approximation of the empirical process indexed by functions by a B...
Consider the usual centered kernel density estimator on R^d, with the kernel varying into a class of...
We present a result about stochastic boundedness of stable empirical processes on Vapnik-Cervonenkis...
AbstractLet {αn(t),0⩽t⩽1} and {βn(t),0⩽t⩽1} be the empirical and quantile processes generated by the...
AbstractStochastic measures of the distance between a density f and its estimate fn have been used t...
The Smoluchowski equations, which describe coalescence growth, take into account combination reactio...