Probability Theory on Vector Spaces III (Lecture Notes in Mathematics) by D. Szynal

Remarks on random functional spaces.- Stochastic integral equations and diffusions on Banach spaces.- The robust equation approach to multidimensional stochastic nonlinear filtering.- Sample continuity moduli theorem in von Neumann algebras.- Stable and semistable probabilities on groups and on vectorspaces.- The non i.i.d. strong law of large numbers in 2-uniformly smooth Banach spaces.- On some ergodic theorems for von Neumann algebras.- Log Log law for Gaussian random variables in Orlicz spaces.- A few remarks on the almost uniform ergodic theorems in von Neumann algebras.- A remark on the central limit theorem in Banach spaces.- On different versions of the law of iterated logarithm for R? and 1p valued wiener process.- Extensions of the Slepian lemma to p-stable measures.- Some remarks on elliptically contoured measures.- Grothendieck's inequality and minimal orthogonally scattered dilations.- Dependence of Gaussian measure on covariance in Hilbert space.- On subordination and linear transformation of harmonizable and periodically correlated processes.- Properties of semistable probability measures on Rm.- Hermite expansions of generalized Brownian functionals.- Some central limit theorems for randomly indexed sequences of random vectors.- On the rate of convergence for distributions of integral type functionals.- Moment problems in Hilbert space.- An abstract form of a counterexample of Marek Kanter.- On p-lattice summing and p-absolutely summing operators.- Note on Chung-Teicher type conditions for the strong law of large numbers in a Hilbert space.- Stable processes and measures; A survey.- Sample paths of demimartingales.