Extends integration theory, applying Riemann-Stieltjes integrals to stochastic processes, suggesting new measurement methods.
Let ƒモ(t) and f(t) be real-valued functions defined on a closed interval [a, b]. The Riemann-Stieltjes integral of f with respect to ƒモ is usually denoted by [numerical formula] When ƒモ(x) is of bounded variation on the interval [a, b], we can treat this integral in the framework of measure theory. Let p and q are positive numbers such that [numerical formula] L. C. Young showed that the integral [numerical formula] in the case that f(t) and ƒモ(t) have finite mean variation of order p and q, respectively. In this paper we shall try to extend the Stieltjes-Young integration theory when f(t) and ƒモ(t) are stochastic processes.
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中尾 et al. (2004) studied this question.
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