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Principle Seminar of the Department of Probability Theory, Moscow State University
September 26, 2007 16:45, Moscow, MSU, auditorium 16-24


Random Measures and Integrals

M. M. Rao

University of California, Riverside, Department of Mathematics

Abstract: A random measure $Z$ is a vector-valued mapping from a $\delta$-ring to $L^p(P)$, $p>0$, and countable additivity is understood in terms of the range metric. Properties of $Z$ which need not have finite Vitali variation are considered. These include independent and/or orthogonal (if $p=2$) valued measures and their properties for shift invariant properties, and their integrals with a view to represent stochastic processes as integrals relative to such measures will be discussed. A few applications are included.

Language: English


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