On Wednesday, September 18 the all-Russian seminar "Mathematical methods of decision analysis in economics, finance and politics" was held. N. Bazenkov gave a lecture on "Do models of limited rationality explain price variance in online trading?".
Research & Expertise
In this article we describe the final day of the International workshop “Social Inequality and Polarization Value: A Cross-Country Perspective”.
In this article we describe the second day of the International workshop “Social Inequality and Polarization Value: A Cross-Country Perspective”.
The International workshop “Social Inequality and Value Polarization: a Cross-Country Perspective”, co-organized by the Laboratory for Comparative Social Research and the Department of Sociology at the HSE in St.Petersburg, opened its doors on September 16, 2019.
September 23-26, HSE University and Moscow State University of Psychology and Education will host lectures by KARL FRISTON, an outstanding British neuroscientist, scientific director of the Laboratory for Functional Neuroimaging at University College London
Topic: Detecting Auctioneer Corruption: Evidence from Russian Procurement Auctions
Date & Time: September, 19; 18:00 - 19:30
Venue: St Petersburg, Fontanka river embankment, 27, PDMI RAS, Marble hall (2nd floor)
Date & Time: September, 19; 18:00 - 19:30
Venue: St Petersburg, Fontanka river embankment, 27, PDMI RAS, Marble hall (2nd floor)
The International Conference on Parallel Processing and Applied Mathematics (PPAM) Best Paper Award is given in recognition of the research paper quality, originality and significance of the work in high performance computing.
On August 26–30, 2019, the International Laboratory of Stochastic Algorithms and High Dimensional Inference (HDI Lab) held the Second Annual Conference ‘Structural Inference in High-Dimensional Models’. The focus of the event this year was on the following topics:
– High-dimensional probability and statistics;
– Statistical and computational optimal transport;
– Markov Chain Monte-Carlo (MCMC);
– Deep-network mathematics.
– High-dimensional probability and statistics;
– Statistical and computational optimal transport;
– Markov Chain Monte-Carlo (MCMC);
– Deep-network mathematics.