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One-step prediction for Pn-weakly stationary processes.
Monatsh. Math. 113, 199-212 (1992)
The one-step prediction problem is studied in the context of Pn-weakly stationary stochastic processes {Mathematical expression}, where {Mathematical expression} is an orthogonal polynomial sequence defining a polynomial hypergroup on {Mathematical expression}. This kind of stochastic processes appears when estimating the mean of classical weakly stationary processes. In particular, it is investigated whether these processes are asymptotic Pn-deterministic, i.e. the prediction mean-squared error tends to zero. Sufficient conditions on the covariance function or the spectral measure are given for {Mathematical expression} being asymptotic Pn-deterministic. For Jacobi polynomials Pn(x) the problem of {Mathematical expression} being asymptotic Pn-deterministic is completely solved.
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Publication type
Article: Journal article
Document type
Scientific Article
Language
english
Publication Year
1992
HGF-reported in Year
0
ISSN (print) / ISBN
0026-9255
Journal
Monatshefte für Mathematik
Quellenangaben
Volume: 113,
Issue: 3,
Pages: 199-212
Publisher
Universität Wien
Reviewing status
Peer reviewed
Institute(s)
Departments & Institutes
Scopus ID
0012817467
Erfassungsdatum
1992-09-30