Keywords
- Probability Measure
- Gaussian Process
- Gaussian Measure
- Reproduce Kernel Hilbert Space
- Supremum Norm
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, access via your institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
P. Billingsley, Convergence of probability measures, Wiley, New York, 1968.
X. Fernique, Régularité de processus gaussiens, Inventiones math. 12 (1971), 304–320.
M. I. Freidlin, The action functional for a class of stochastic processes, Theory of Prob. & Appl. 17 (1972), 511–515.
J. Gärtner, Theorems on large deviations for a certain class of random processes, Theory of Prob. & Appl. 21 (1976), 96–107.
G. Kallianpur and H. Oodaira, Freidlin-Wentzell type estimates for abstract Wiener spaces, to appear.
M. B. Marcus and L. A. Shepp, Sample behavior of Gaussian processes, Proc. Sixth Berkeley Symp. Math. Statist. Prob. 2, University of California Press, 1972, 423–441.
H. Oodaira, Some functional laws of the iterated logarithm for dependent random variables, Colloq. Math. Soc. Janos Bolyai 11 (1975), 253–272.
V. V. Petrov, Sums of independent random variables, Ergeb. Math. 82, Springer Verlag, Berlin-Heidelberg, 1975.
A. D. Wentzell and M. I. Freidlin, On small random perturbations of dynamicalsystem, Russian Math. Surveys (Uspekhi Mat. Nauk) 25 (1970), 1–55.
A. D. Wentzell, Theorems on the action functional for Gaussian random functions, Theory of Prob. & Appl. 17 (1972), 515–517.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1978 Springer-Verlag
About this paper
Cite this paper
Oodaira, H. (1978). Note on freidlin-wentzell type estimates for stochastic processes. In: Kallianpur, G., Kölzow, D. (eds) Measure Theory Applications to Stochastic Analysis. Lecture Notes in Mathematics, vol 695. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0062662
Download citation
DOI: https://doi.org/10.1007/BFb0062662
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-09098-4
Online ISBN: 978-3-540-35556-4
eBook Packages: Springer Book Archive
