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Fractional integrals of stationary processes and the central limit theorem

Published online by Cambridge University Press:  14 July 2016

M. Rosenblatt*
Affiliation:
University of California, San Diego

Abstract

A class of limit theorems involving asymptotic normality is derived for stationary processes whose spectral density has a singular behavior near frequency zero. Generally these processes have ‘long-range dependence’ but are generated from strongly mixing processes by a fractional integral or derivative transformation. Some related remarks are made about random solutions of the Burgers equation.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1976 

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References

[1] Davydov, Yu. A. (1970) The invariance principle for stationary processes. Theor. Prob. Appl. 15, 487498.CrossRefGoogle Scholar
[2] Helson, H. and Sarason, D. (1967) Past and future. Math. Scand. 21, 516.CrossRefGoogle Scholar
[3] Mandelbrot, B. B. (1975) Limit theorems on the self-normalized range for weakly and strongly dependent processes. Z. Wahrscheinlichkeitsth. 31, 271285.CrossRefGoogle Scholar
[4] McLeish, D. L. (1975) Invariance principles for dependent variables. Z. Wahrscheinlichkeitsth. 32, 165178.Google Scholar
[5] Rosenblatt, M. (1961) Some comments on narrow band-pass filters. Quart. Appl. Math. 18, 387393.Google Scholar
[6] Rosenblatt, M. (1968) Remarks on the Burgers equation. J. Math. Phys. 9, 11291136.Google Scholar
[7] Taqqu, M. (1975) Weak convergence to fractional Brownian motion and to the Rosenblatt process. Z. Wahrscheinlichkeitsth. 31, 287302.Google Scholar
[8] Zygmund, A. (1968) Trigonometric Series. Cambridge University Press.Google Scholar