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A linear prediction problem for symmetric \(\alpha\)-stable processes with \(<\alpha <1\) (Q1089994)

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scientific article; zbMATH DE number 4007361
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English
A linear prediction problem for symmetric \(\alpha\)-stable processes with \(<\alpha <1\)
scientific article; zbMATH DE number 4007361

    Statements

    A linear prediction problem for symmetric \(\alpha\)-stable processes with \(<\alpha <1\) (English)
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    1987
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    A linear prediction problem for symmetric \(\alpha\)-stable processes, \(<\alpha <1\), which admit prediction in the \textit{K. Urbanik} sense [Proc. Fifth Berkeley Symp. Math. Stat. Probab., Univ. Calif. 1965/66, 2, Part 1, 235-258 (1967; Zbl 0226.60065)] is studied. The author proves a canonical representation theorem for the completely nondeterministic part of the process. This result is parallel to Urbanik's theorem, which for the class of symmetric stable processes includes the case \(1<\alpha <2.\) In this paper, the author considers a class of processes which have infinite first moment. The restriction \(\alpha >\) depends on the author's sufficient condition for integrability of functions with values in the Fréchet-space \(L^{\alpha}\).
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    linear prediction problem
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    canonical representation theorem
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    stable processes
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