Pathwise asymptotics for Volterra processes conditioned to a noisy version of the Brownian motion

IF 0.7 Q3 STATISTICS & PROBABILITY Modern Stochastics-Theory and Applications Pub Date : 2020-02-27 DOI:10.15559/20-VMSTA149
B. Pacchiarotti
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引用次数: 0

Abstract

In this paper we investigate a problem of large deviations for continuous Volterra processes under the influence of model disturbances. More precisely, we study the behavior, in the near future after $T$, of a Volterra process driven by a Brownian motion in a case where the Brownian motion is not directly observable, but only a noisy version is observed or some linear functionals of the noisy version are observed. Some examples are discussed in both cases.
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受噪声布朗运动约束的Volterra过程的路径渐近性
本文研究了模型扰动影响下连续Volterra过程的大偏差问题。更准确地说,我们研究在$T$之后不久的将来,由布朗运动驱动的Volterra过程的行为,在这种情况下,布朗运动不能直接观察到,但只观察到噪声版本或观察到噪声版本的一些线性泛函。在这两种情况下讨论了一些例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Modern Stochastics-Theory and Applications
Modern Stochastics-Theory and Applications STATISTICS & PROBABILITY-
CiteScore
1.30
自引率
50.00%
发文量
0
审稿时长
10 weeks
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