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Log-classes for the increments of a multivariate emipirical process - MaRDI portal

Log-classes for the increments of a multivariate emipirical process (Q1269940)

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scientific article; zbMATH DE number 1213183
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Log-classes for the increments of a multivariate emipirical process
scientific article; zbMATH DE number 1213183

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    Log-classes for the increments of a multivariate emipirical process (English)
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    24 November 1998
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    Let \(\xi_1,\xi_2,\dots\) be independent random vectors with common uniform distribution on the \(d\)-dimensional unit cube \(I^d\), and, for every integer \(n\geq 1\), let \(\alpha_n\) denote the normalized and centered empirical measure based on the first \(n\) of these random vectors. For a given sequence \((h_n)_{n\geq 1}\) of positive constants, set \(C(x)=z+[0,x_1h_n]\times\dots\times[0,x_dh_n], x=(x_1,\dots,x_d), z\in I^d\). Under the condition \[ 0<\liminf_{n\to\infty}| \log h_n| /\log n \leq \limsup_{n\to\infty}| \log h_n| /\log n < 1/d \] two Strassen-type functional limit theorems for \(\alpha_n(C(x))\) are obtained.
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    multivariate empirical process
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    Strassen-type functional limit theorem
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