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Derived random measures
Authors:AF Karr
Institution:Department of Mathematical Sciences, The Johns Hopkins University, Baltimore, MD 21218, U.S.A.
Abstract:A derived random measure is constructed by integration of a random process with respect to a random measure independent of that process. Basic distributional properties, a continuity theorem, sample path properties, a strong law of large numbers, and a central limit theorem for derived random measures are established. Applications are given to compounding and thinning of point processes and the measure of a random set.
Keywords:random measure  derived random measure  Laplace functional  additive random measure  Poisson random measure  point process
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