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Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
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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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