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
Let {} denote the N-parameter Wiener process on . For multiple sequences of certain independent rand...
AbstractA moderate deviation principle and a Strassen-type law of the iterated logarithm for the sma...
123 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.We establish a central limit ...
International audienceFollowing the works of Berthet [2, 3], we first obtain exact dustering rates i...
AbstractWe establish Chung–Mogulskii type functional laws of the iterated logarithm for medium and l...
AbstractLet {αn(t),0⩽t⩽1} and {βn(t),0⩽t⩽1} be the empirical and quantile processes generated by the...
AbstractNecessary and sufficient conditions are established for the bounded and compact laws of the ...
Consider the usual centered kernel density estimator on R^d, with the kernel varying into a class of...
Abstract. By using large deviation techniques, we prove a Strassen type law of the iterated logarith...
We prove Strassen's law of the iterated logarithm for the Lorenz process assuming that the underlyin...
By using large deviation techniques, we prove a Strassen type law of the iterated logarithm, in Höld...
A moderate deviation principle and a Strassen type law of the iterated logarithm for the small-time ...
International audienceWe obtain rates of strong approximation of the empirical process indexed by fu...
AbstractWe obtain rates of strong approximation of the empirical process indexed by functions by a B...
The functional iterated logarithm law for a Wiener process in the Bulinskii form for great and small...
Let {} denote the N-parameter Wiener process on . For multiple sequences of certain independent rand...
AbstractA moderate deviation principle and a Strassen-type law of the iterated logarithm for the sma...
123 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.We establish a central limit ...
International audienceFollowing the works of Berthet [2, 3], we first obtain exact dustering rates i...
AbstractWe establish Chung–Mogulskii type functional laws of the iterated logarithm for medium and l...
AbstractLet {αn(t),0⩽t⩽1} and {βn(t),0⩽t⩽1} be the empirical and quantile processes generated by the...
AbstractNecessary and sufficient conditions are established for the bounded and compact laws of the ...
Consider the usual centered kernel density estimator on R^d, with the kernel varying into a class of...
Abstract. By using large deviation techniques, we prove a Strassen type law of the iterated logarith...
We prove Strassen's law of the iterated logarithm for the Lorenz process assuming that the underlyin...
By using large deviation techniques, we prove a Strassen type law of the iterated logarithm, in Höld...
A moderate deviation principle and a Strassen type law of the iterated logarithm for the small-time ...
International audienceWe obtain rates of strong approximation of the empirical process indexed by fu...
AbstractWe obtain rates of strong approximation of the empirical process indexed by functions by a B...
The functional iterated logarithm law for a Wiener process in the Bulinskii form for great and small...
Let {} denote the N-parameter Wiener process on . For multiple sequences of certain independent rand...
AbstractA moderate deviation principle and a Strassen-type law of the iterated logarithm for the sma...
123 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1987.We establish a central limit ...