AN APPLICATION OF THE SEGAL–BARGMANN TRANSFORM TO THE CHARACTERIZATION OF LÉVY WHITE NOISE MEASURES
DOI10.1142/S0219025710004012zbMath1209.28021MaRDI QIDQ3580206
Publication date: 11 August 2010
Published in: Infinite Dimensional Analysis, Quantum Probability and Related Topics (Search for Journal in Brave)
Gaussianinfinitely divisible distributionLévy white noise measurePoisson, Gamma, Pascal distribution
Processes with independent increments; Lévy processes (60G51) Probability measures on topological spaces (60B05) White noise theory (60H40) Set functions and measures and integrals in infinite-dimensional spaces (Wiener measure, Gaussian measure, etc.) (28C20) Distributions on infinite-dimensional spaces (46F25)
Cites Work
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- The Segal-Bargmann transform for Lévy white noise functionals associated with non-integrable Lévy processes
- The Segal-Bargmann transform for Lévy functionals
- Analytic version of test functionals, Fourier transform, and a characterization of measures in white noise calculus
- Compound Poisson approximation for nonnegative random variables via Stein's method
- Poisson approximation for dependent trials
- Analysis of generalized Lévy white noise functionals
- Lévy white noise measures on infinite-dimensional spaces: existence and characterization of the measurable support
- Spectral Type of the Shift Transformation of Differential Processes With Stationary Increments
- Interacting Fock Spaces and Gaussianization of Probability Measures
- ANALYTIC CHARACTERIZATION OF ONE-MODE INTERACTING FOCK SPACE
- Segal-Bargmann transforms of one-mode interacting Fock spaces associated with Gaussian and Poisson measures
- Orthogonal polynomials in Stein's method
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