On the correct discrimination of Gaussian hypotheses. II.
On the definition of a probalistic normed space.
On the density of log concave seminorms on vector spaces
On the distribution of the norm for a gaussian measure
On the Itô formula in a Banach space.
On the negative dependence in Hilbert spaces with applications
This paper introduces the notion of pairwise and coordinatewise negative dependence for random vectors in Hilbert spaces. Besides giving some classical inequalities, almost sure convergence and complete convergence theorems are established. Some limit theorems are extended to pairwise and coordinatewise negatively dependent random vectors taking values in Hilbert spaces. An illustrative example is also provided.
On the Skorokhod topology
On the space of vector-valued functions integrable with respect to the white noise
On the tail estimation of the norm of Rademacher sums.
Operator semistable probability measures on
Operators generating p-stable measures on Banach spaces
Orlicz space - valued martingales
Orthogonal random vectors and the Hurwitz-Radon-Eckmann theorem.
Periodicity in distribution. I: Discrete systems.
Probability measures with big kernels.
Probability structure preserving and absolute continuity
Projections of onto subspaces spanned by independent random variables
Rademacher series and decoupling.
Random Integrals and Type and Cotype of Banach Space.
Random integrals of Banach space valued functions