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News
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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Статистика и выводы: причинно-следственные связи и вероятности

МЕТОД: Московский ежегодник трудов из обществоведческих дисциплин. 2015. № 5. С. 299–308.
Gasparyan O. T.

Spatial econometrics is one of the mainstream directions in the contemporary quantitative analysis. In political science the development of comparative cross-sectional studies leads to the necessity of understanding spatial econometric techniques.\

The current paper shows the importance of spatial modeling on the example of Russian regions and presumes that ignoring the spatial interdependence of the initial observations could result in overestimation of one factor’s influence on the other.

Research target: Political Science, International Relations, and Public Administration
Priority areas: humanitarian
Language: Russian
Keywords: causalityпространственная корреляцияпричинностьspatial econometricsпространственная эконометрикапространственные моделиspatial lags
Publication based on the results of:
Public expectations, political priorities and budget redistribution: interaction models in democratic and hybrid regimes (2014)
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