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October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Evidential Estimation of Dependences Based on Data

Procedia Computer Science. 2025. Vol. 266. P. 770–777.
Lepskiy A.

The classical problem of parametric estimation (recovery, fitting, regression) of dependencies from data is considered. But the so-called simple bodies of evidence are coefficients in the proposed formulation. These bodies of evidence model both the inaccuracy of the assignment of coefficients and the possible unreliability of information sources. Some formulations of optimization problems for recovering dependencies with such coefficients are discussed. A comparison of the formulations and results with the fuzzy regression problem was carried out. The robustness of the model is investigated.

Research target: Computer Science
Language: English
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Keywords: evidence theoryfuzzy regressiondata fitting
Publication based on the results of:
Decision-Making in Socio-Economic, Political and Financial Spheres (2025)
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