Abstract
We consider the problem of finding the probability of the event that a continuous random process reaches the boundary of a region first time on a given range of the independent variable. We propose a new approach to estimating the said probability related to studying the so-called conditional probabilities of a horizontal window: a) conditional probability of the event that at the moment when component ξ 1(x) of the n-dimensional process ξ(x) = {ξ 1(x), …, ξ n (x)} first drops under a given level on interval [x, x + Δx) constraint (ξ 2, …, ξ n ) ∈ D ⊂ R n−1 holds, where D is a given region, given that it has dropped under this level at all; b) conditional probability, under the same condition as a), of the event that up until the moment of the first entry of component ξ 1(x) under a given level on interval [x, x + Δx) this component had already crossed this level a certain number of times.
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Original Russian Text © S.L. Semakov, 2015, published in Avtomatika i Telemekhanika, 2015, No. 4, pp. 80–96.
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Semakov, S.L. Estimating the probability that a multidimensional random process reaches the boundary of a region. Autom Remote Control 76, 613–626 (2015). https://doi.org/10.1134/S0005117915040062
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DOI: https://doi.org/10.1134/S0005117915040062