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July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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Random Walks in Nonhomogeneous Poisson Environment

P. 3–24.
Davydov Y., Konakov V.

In the first part of the paper we consider a "random flight" process in  \(R^d\)   and obtain the weak limits under different transformations of the Poissonian switching times.  In the second part we construct diffusion approximations for this process and investigate their accuracy. To prove the weak convergence result we use the approach of Stroock and Varadhan (1979).  We consider more general model which may be called  "random walk over ellipsoids in  \(R^d\)".  For this model we establish the Edgeworth type expansion. The main tool in this part is the parametrix method (Konakov (2012), Konakov and Mammen (2009)).

Language: English
Full text
Keywords: случайные блужданияметод параметриксаrandom walksparametrix methodrandom flightsRandom nonhomogeneous environmentDiffusion approximationслучайная неоднородная среда
Publication based on the results of:
Вероятностные и статистические методы анализа сложных моделей, задаваемых стохастическими дифференциальными и разностными уравнениями (2017)

In book

Modern problems of stochastic analysis and statistics - Selected contributions in honor of Valentin Konakov
Modern problems of stochastic analysis and statistics - Selected contributions in honor of Valentin Konakov
Heidelberg: Springer, 2017.
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