Gaussian measures on L\(_p\) spaces, \(1\leq p \leq \infty\)
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Publication:2557070
DOI10.1016/0047-259X(72)90034-6zbMath0251.60004MaRDI QIDQ2557070
Publication date: 1972
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Related Items (13)
Gaussian measures on Orlicz spaces and abstract Wiener spaces ⋮ On sample path properties of semistable processes ⋮ Functional marked point processes: a natural structure to unify spatio-temporal frameworks and to analyse dependent functional data ⋮ Tensor Gaussian measures on \(L^p(E)\) ⋮ Weak convergence of approximate solutions of random equations ⋮ PCA-based estimation for functional linear regression with functional responses ⋮ Correspondence between Gaussian measures and the Gaussian process ⋮ Equivalent Gaussian measure whose R-N derivative is the exponential of a diagonal form ⋮ Central limit problem on \(L_p\;(p\geq 2)\). II: Compactness of infinitely divisible laws ⋮ The central limit theorem for empirical and quantile processes in some Banach spaces ⋮ Representation of certain infinitely divisible probability measures on Banach spaces ⋮ Large deviations of the \(L^p\)-norm of a Wiener process with drift ⋮ On weak convergence of stochastic processes with Lusin path spaces
Cites Work
- On the representation of weakly continuous stochastic processes
- Some zero-one laws for Gaussian processes
- A Zero-One Law for Gaussian Processes
- Radon-Nikodym Derivatives of Gaussian Measures
- Equivalent Gaussian Measures with a Particularly Simple Radon-Nikodym Derivative
- Norm Convergent Expansions for Gaussian Processes in Banach Spaces
- Existence and Convergence of Probability Measures in Banach Spaces
- Zero-one laws for Gaussian processes
- Gaussian Processes and Gaussian Measures
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