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On the Convergence Rate of the Quasi- to Stationary Distribution for the Shiryaev-Roberts Diffusion

Abstract

For the classical Shiryaev--Roberts martingale diffusion considered on the interval [0,A][0,A], where A>0A>0 is a given absorbing boundary, it is shown that the rate of convergence of the diffusion's quasi-stationary cumulative distribution function (cdf), QA(x)Q_{A}(x), to its stationary cdf, H(x)H(x), as A+A\to+\infty, is no worse than O(log(A)/A)O(\log(A)/A), uniformly in x0x\ge0. The result is established explicitly, by constructing new tight lower- and upper-bounds for QA(x)Q_{A}(x) using certain latest monotonicity properties of the modified Bessel KK function involved in the exact closed-form formula for QA(x)Q_{A}(x) recently obtained by Polunchenko (2017).

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