Abstract
This section is a sequence of examples designed to illustrate various applications of the theory of Gaussian measures set forth in Sections 8 and 9. We shall consider several measures which are the distributions of the most interesting Gaussian random functions. In each particular situation, we shall find the kernel of the corresponding measure and calculate the action functional and the admissibility rates for shifts.
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© 1995 Springer Science+Business Media Dordrecht
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Lifshits, M.A. (1995). The Most Important Gaussian Distributions. In: Gaussian Random Functions. Mathematics and Its Applications, vol 322. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8474-6_10
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DOI: https://doi.org/10.1007/978-94-015-8474-6_10
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4528-7
Online ISBN: 978-94-015-8474-6
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