Stochastic mappings and random distribution fields. III: Module propagators and uniformly bounded linear stationarity.

DOI10.1016/j.jmaa.2015.10.082zbMath1355.60042OpenAlexW2158242410MaRDI QIDQ898843

Lorena Popa, Păstorel Gaşpar

Publication date: 21 December 2015

Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmaa.2015.10.082

zbMATH Keywords

stationarityrandom fieldsmultivariate stochastic mappingsrandom distribution fieldsmodule propagatoruniformly bounded linear stationarity

Mathematics Subject Classification ID

Random fields (60G60) Stationary stochastic processes (60G10) Distribution theory (60E99) Linear operators in reproducing-kernel Hilbert spaces (including de Branges, de Branges-Rovnyak, and other structured spaces) (47B32)

Related Items (3)

Stochastic Wiener filter in the white noise space ⋮ Stochastic mappings and random distribution fields: a correlation approach ⋮ On random normal operators and their spectral measures

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• Shift operator for periodically correlated processes
• On the linear prediction problem of certain non-stationary stochastic processes.
• Dilations as Propagators of Hilbertian Varieties

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