On invariance principles with limit processes satisfying strong laws-Reference-Cited by-同舟云学术

On invariance principles with limit processes satisfying strong laws

Published:1981 Issue:2 Volume:58 Page:257-265
ISSN:0044-3719
Container-title:Zeitschrift f�r Wahrscheinlichkeitstheorie und Verwandte Gebiete
language:en
Short-container-title:Z. Wahrscheinlichkeitstheorie verw. Gebiete

Author:

Bauer Herbert

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability,Analysis,General Mathematics,Statistics and Probability,Analysis

Link

http://link.springer.com/content/pdf/10.1007/BF00531566.pdf

Reference18 articles.

1. Bauer, H.: Some invariance principles for stochastic processes and their inverse and supremum processes. Math. Z. 175, 283?297 (1980)

2. Billingsley, P.: Convergence of probability measures. New York: Wiley 1968

3. Borovkov, A.A.: Convergence of distributions of functionals of random sequences and processes defined on the real line. Proc. Steklov Inst. Math. 128, 43?72 (1972)

4. Borovkov, A.A., Sakhanenko, A.I.: Remarks on convergence of random processes in nonseparable metric spaces and on the non-existence of a Borel measure for processes in C(0, ?). Theor. Probability Appl. 18, 774?777 (1973)

5. Dudley, R.M.: Sample functions of the Gaussian process. Ann. Probability 1, 66?103 (1973)

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