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August 12, 2026
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Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
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Statistical Estimation of the Jump Activity for Time-changed Levy Processes

.
Panov V.
This paper is devoted to studying the problem of the statistical inference on the activity of jumps for a class of the so-called time-changed Levy processes, i.e., for the processes in the form Ys = XT (s), where X is a Levy process and T is a non-negative and non-decreasing stochastic process, which is referred to as time change. First, starting from some natural assumptions on the Levy measure of X, we infer on the asymptotic behavior of the characteristic function of Y. Next, we present a new method, which allows to consistently estimate the activity of small jumps in the dicult case of lowfrequency data.
Language: Russian
Full text
Keywords: Blumental-Getoor indexLevy processeslow-frequency data

In book

Сборник статей конференции "Информационные технологии и системы" (ИТиС'12)
М.: ИППИ РАН, 2012.
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