Titlebook: Gaussian Random Functions; M. A. Lifshits Book 1995 Springer Science+Business Media Dordrecht 1995 Gaussian distribution.Gaussian measure.

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Exact Asymptotics of Large Deviations,Our consideration so far has been restricted to studying the . asymptotics of large deviations. We now focus on the methods which, in some cases, enable to find the . asymptotics.

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Edward Blair,Kathleen Williamson ξ. If . ⊂ ℝ., the term ‘.’ (or simply .) is used instead of the term ‘random function’; if . ⊂ ℝ., . > 1, the expression ‘.’ is used. In these cases, the elements of . are interpreted as the time instants or space points, respectively. If . = ℕ, a random function ξ is called the ..

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https://doi.org/10.1007/978-3-031-05789-2the kernel, some linear subspace .. ⊂ .. Although this kernel has usually measure zero, it is very important for studying various properties of the measure. For instance, having shifted . by an arbitrary vector which belongs to .., we obtain a measure which is absolutely continuous with respect to .

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Autoethnography in Language Educationhave different forms (see Theorems 14.1 and 14.5), and a certain gap may exist between these bounds. In particular, this is a reason of that it is impossible to give necessary and sufficient conditions for the boundedness (or continuity) of a Gaussian random function in terms of the entropy. In the

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