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In this section we give two classical results that are used several times in the book. The rst gives a simple suf cient condition for a one-parameter random process not to have a.s. critical points at a certain speci ed level. The second result states that under mild conditions, a Gaussian process de ned on a quite general parameter set with probability 1 does not have local extrema at a given level. We will use systematically the following notation: If is a random variable with values in Rd and its distribution has a density with respect to Lebesgue measure, this density is denoted as p (x) x Rd . winforms upc-a reader Packages matching Tags:"UPC-A" - NuGet Gallery
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