Some sufficient conditins for tightness of continuous stochastic processes is given. It is verified that in the classical tightness sufficient conditions for continuous stochastic processes it is possible to take a continuous nondecreasing stochastic process instead of a deterministic function one.
@article{bwmeta1.element.bwnjournal-article-doi-10_7151_dmps_1079, author = {Micha\l\ Kisielewicz}, title = {Tightness of Continuous Stochastic Processes}, journal = {Discussiones Mathematicae Probability and Statistics}, volume = {26}, year = {2006}, pages = {151-162}, zbl = {1142.60024}, language = {en}, url = {http://dml.mathdoc.fr/item/bwmeta1.element.bwnjournal-article-doi-10_7151_dmps_1079} }
Michał Kisielewicz. Tightness of Continuous Stochastic Processes. Discussiones Mathematicae Probability and Statistics, Tome 26 (2006) pp. 151-162. http://gdmltest.u-ga.fr/item/bwmeta1.element.bwnjournal-article-doi-10_7151_dmps_1079/
[000] [1] P. Billingsley, Convergence of Probability Measures, John Wiley and Sons, Inc. New York-London-Toronto 1977. | Zbl 0944.60003
[001] [2] J. Jacod and A. Shiryaev, Limit Theorems for Stochastic Processes, Springer-Verlag, Berlin-Heildelberg-New York 1987. | Zbl 0635.60021
[002] [3] N. Ikeda and S. Wantanabe, Stochastic Diferential Equation and Diffusion Processes, North Holand Publ., Amsterdam 1981.