TitleProbability Theory on Vector Spaces III [electronic resource] : Proceedings of a Conference held in Lublin, Poland, August 24-31, 1983 / edited by Dominik Szynal, Aleksander Weron
ImprintBerlin, Heidelberg : Springer Berlin Heidelberg, 1984
Connect tohttp://dx.doi.org/10.1007/BFb0099781
Descript VIII, 380 p. online resource

CONTENT

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 -- Grothendieckโs 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


SUBJECT

  1. Mathematics
  2. Probabilities
  3. Mathematics
  4. Probability Theory and Stochastic Processes