On the convergence of induced measures in variation

DOI10.1070/SM1999v190n09ABEH000424zbMath0973.60063OpenAlexW1989404763MaRDI QIDQ4948064

D. E. Aleksandrova, Vladimir I. Bogachev, Andrey Yu. Pilipenko

Publication date: 13 April 2000

Published in: Sbornik: Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1070/sm1999v190n09abeh000424

zbMATH Keywords

Sobolev spaceLebesgue measureconvergence in variationLusin's (N)-property

Mathematics Subject Classification ID

Stochastic calculus of variations and the Malliavin calculus (60H07) Convergence of probability measures (60B10)

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Convergence in Law Implies Convergence in Total Variation for Polynomials in Independent Gaussian, Gamma or Beta Random Variables ⋮ Regularity of the laws of shot noise series and of related processes ⋮ Exponential ergodicity of the solutions to SDE's with a jump noise

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