Journal of Applied Probability · 1973 · 14 citations · 3 references
EngineeringMathematicsProbability TheoryStochastic ModelingStochastic ProcessesBrownian MotionContinuous-time Stochastic ProcessesMarkov ProcessesStochastic CalculusLower Bound Computation
Let D = [0, S ] × [0, T ] be a rectangle in E 2 and X ( s, t ), ( s, t )∈ D , be a two parameter Yeh-Wiener process. This paper finds the probability distribution of the supremum of X ( s, t ) on the boundary of D by taking the limit of the probability distribution of the supremum of X ( s, t ) along certain paths as these paths approach the boundary of D . The probability distribution of the supremum of X ( s, t ) on the boundary of D gives a nice lower bound for the probability distribution of the supremum of X ( s, t ) on D , which is unknown.
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Heuristic Approach to the Kolmogorov-Smirnov Theorems
J. L. Doob · The Annals of Mathematical Statistics · 1949 · 519 citations · Full text