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Properties and applications of stochastic processes with stationary nth-order increments

Published online by Cambridge University Press:  01 July 2016

B. Picinbono*
Affiliation:
Université de Paris-Sud

Abstract

Many physical problems are described by stochastic processes with stationary increments. We present a general description of such processes. In particular we give an expression of a process in terms of its increments and we show that there are two classes of processes: diffusion and asymptotically stationary. Moreover, we show that the nth increments are given by a linear filtering of an arbitrary stationary process.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 1974 

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References

[1] Yaglom, A. M. (1958) Correlation theory of processes with random stationary nth increments. Transl. Amer. Math. Soc. 8, 87141.Google Scholar
[2] Whittle, P. (1963) Prediction and Regulation. English Universities Press, London.Google Scholar
[3] Middleton, D. (1960) An Introduction to Statistical Communication Theory. McGraw-Hill, New York.Google Scholar
[4] Tatarski, V. I. (1961) Wave Propagation in a Turbulent Medium. Dover, New York.Google Scholar
[5] Blanc-Lapierre, A. and Fortet, R. (1953) Théorie des Fonctions Aléatoires. Masson, Paris.Google Scholar
[6] Cramér, H. and Leadbetter, M. (1967) Stationary and Related Stochastic Processes. Wiley, New York.Google Scholar
[7] Picinbono, B. (1971) Statistical properties of randomly modulated laser beams. Phys. Rev. A 4, 23982407.Google Scholar