CENTRAL LIMIT THEOREM IN HÖLDER SPACES
Alfredas Račkauskas
Charles Suquet
Abstract: Stochastic processes are considered within the framework of Hölder spaces as
paths spaces. Using Ciesielski’s isomorphisms between and sequences spaces via the
Faber Schauder triangular functions allows us to express our basic assumptions in terms of
second differences of the processes, giving more flexibility. We obtain general conditions for
the existence of a version with paths in and the tightness of sequences of random
elements in these spaces. Central limit theorems in are established and convergence
rates are given with respect to Prohorov and bounded Lipschitz metrics. As an application,
we study the weak Holder convergence of the characteristic empirical process.
2000 AMS Mathematics Subject Classification: Primary: -; Secondary: -;
Key words and phrases: -