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首页> 外文期刊>Bernoulli: official journal of the Bernoulli Society for Mathematical Statistics and Probability >Uniformly and strongly consistent estimation for the Hurst function of a Linear Multifractional Stable Motion
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Uniformly and strongly consistent estimation for the Hurst function of a Linear Multifractional Stable Motion

机译:对于线性多级稳定运动的狭长函数均匀而强烈一致地估计

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摘要

Since the middle of the 90s, multifractional processes have been introduced for overcoming some limitations of the classical Fractional Brownian Motion model. In their context, the Hurst parameter becomes a Milder continuous function H(center dot) of the time variable t. Linear Multifractional Stable Motion (LMSM) is the most known one of them with heavy-tailed distributions. Generally speaking, global and local sample path roughness of a multifractional process are determined by values of its parameter H(center dot); therefore, since about two decades, several authors have been interested in their statistical estimation, starting from discrete variations of the process. Because of complex dependence structures of variations, in order to show consistency of estimators one has to face challenging problems.
机译:自90年代中间以来,已经介绍了多分过程,以克服经典分数褐色运动模型的一些限制。 在其上下文中,Hurst参数成为时间变量T的温和连续功能H(中心点)。 线性多级稳定运动(LMSM)是其中最着名的具有重尾部分布。 一般而言,多级过程的全局和局部样本路径粗糙度由其参数H(中心点)的值确定; 因此,自大约二十年来以来,若干作者对他们的统计估计有兴趣,从过程的离散变化开始。 由于变化的复杂结构复杂,为了显示估计器的一致性,必须面临具有挑战性的问题。

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