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Saddlepoint approximation to the distribution of the total distance of the von Mises-Fisher continuous time random walk

机译:Saddlepoint近似于von遗传米斯 - 费舍尔连续时间随机行走的总距离的分布

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摘要

This article considers the random walk over R-p, with any p = 2, where a particle starts at the origin and progresses stepwise with fixed step lengths and von Mises-Fisher distributed step directions. The total number of steps follows a continuous time counting process. The saddlepoint approximation to the distribution of the distance between the origin and the position of the particle at any time is derived. Despite the p-dimensionality of the random walk, the computation of the proposed saddlepoint approximation is one-dimensional and thus simple. The high accuracy of the saddlepoint approximation is illustrated by a numerical comparison with Monte Carlo simulation. (C) 2017 Elsevier Inc. All rights reserved.
机译:本文认为随机步行超过R-P,任何P> = 2,其中粒子在原点开始,并通过固定的步长和von Mises-fisher分布步骤方向进行逐步进行。 步骤总数遵循连续时间计数过程。 导出鞍点近似到任何时间的原点和颗粒位置之间的距离的分布。 尽管随机步行的p维度,但是所提出的鞍点近似的计算是一维的,因此简单。 通过与蒙特卡罗模拟的数值比较来说明鞍点近似的高精度。 (c)2017年Elsevier Inc.保留所有权利。

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