Laws of the iterated logarithm for partial sum processes indexed by functions (Q1119260)
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scientific article; zbMATH DE number 4098393
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Laws of the iterated logarithm for partial sum processes indexed by functions |
scientific article; zbMATH DE number 4098393 |
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Laws of the iterated logarithm for partial sum processes indexed by functions (English)
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1989
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For \(d\in N\), let \(\{X_ j\), \(j\in N^ d\}\) be an array of independent copies of a random variable X with E X\(=0\), E \(X^ 2=1\). For any Borel set \(A\subset [0,1)^ d=I\) define the random measure \(S_ n(A,X)=\sum_{j\in nA}X_ j\). Further if f is a measurable function on I one can define \[ S_ n(f,X)=\int_{I}f(t)S_ n(dt,X). \] We say that X satisfies the bounded law of the iterated logarithm for a class F of measurable functions if \[ \{(2n \log \log n)^{-1/2}S_ n(f,X)\} \] is a bounded subset of \(\ell^{\infty}(F)\). The notion of the compact LIL can be defined similarly. The author gives conditions on F implying that X satisfies the bounded resp. the compact LIL. Note that if \(F=\{1_{[0,t)}\), \(0\leq t\leq 1\}\) we obtain the classical LIL as special case.
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partial sum processes
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metric entropy
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law of the iterated logarithm
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0.9535497
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0.95098716
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0.9382533
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0.9329598
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