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News
September 15, 2026
Immunity to Chaos: How Personal Resources Help Us Cope with the Challenges of a Turbulent World
International conflicts, crises and digital overload—the modern world puts our minds to the test every day. Traditional psychology often focuses on the consequences: anxiety, depression, and psychosomatic disorders. But what if we looked at the problem differently—through the lens of the resources that prevent us from breaking down? Psychological immunity is precisely this set of resources. Alena Zolotareva and her group, Psychological Immunity as a Resource for Positive Functioning, are developing an integrative model of this phenomenon, adapting diagnostic tools and preparing for large-scale empirical research. Why do psychologists need to collaborate with medical professionals, and how could their research transform preventive care in clinics and corporations?
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.

 

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Equivalence of Network Structures in Networks of Random Variables with Known and Unknown Shift Parameter

Journal of Mathematical Sciences. 2020. Vol. 248. No. 1. P. 129–137.
Koldanov P.

It is proved that sign network with elliptical distribution with known shift parameter is equivalent
to sign network with elliptical distribution with unknown shift parameter estimated as sample mean.
This result is proved for the case of independent identically distributed observation and for the case
of sample from matrix elliptically contoured distribution with any dependence between observations.
 

Research target: Mathematics
Language: English
DOI
Text on another site
Keywords: sample meanRandom variable networksProbability of sign coincidenceNetwork modelnetwork structurepearson correlation cefficient
Publication based on the results of:
Research of robustness of network analysis algorithms (2020)
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