Weak convergence of probability measures in spaces of smooth functions

DOI10.1016/0304-4149(86)90047-5zbMath0609.60004OpenAlexW1981983115MaRDI QIDQ1086899

Richard J. Wilson

Publication date: 1986

Published in: Stochastic Processes and their Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0304-4149(86)90047-5

zbMATH Keywords

weak convergence of measuresspaces of smooth functionsconditions for weak convergence of measuressufficient conditions for tightness

Mathematics Subject Classification ID

Convergence of probability measures (60B10)

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Cites Work

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• Extremes and related properties of random sequences and processes
• Weak convergence inapplied probability
• The behaviour of a non-differentiable stationary Gaussian process after a level crossing
• Functional limits of empirical distributions in crossing theory
• Limit theorems for random walks, birth and death processes, and diffusion processes
• A Note on the Weak Convergence of Stochastic Processes
• Model fields in crossing theory: a weak convergence perspective
• The function space D([O, ∞)ρ, E)
• The structure of Gaussian fields near a level crossing
• On Limit Theorems for Gaussian Processes
• Weak Convergence of Probability Measures on the Function Space $C\lbrack 0, \infty)$
• Weak convergence of probability measures and random functions in the function space D[0,∞)
• Weak Convergence of Stochastic Processes Defined on Semi-Infinite Time Intervals

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