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Regular version of the site
Contacts

614017 Perm
37 Gagarina bulvar, room 301

Phone: +7 (342) 200-95-47

Administrations
Department Head Mariya Molodchik

PhD, Associate Professor
email: mmolodchik@hse.ru

Teaching and Learning Specialist Elena Borisova

email: eborisova2@hse.ru

Book chapter
Bagging Prediction for Censored Data: Application for Theatre Demand

Ozhegov E. M., Ozhegova A.

In bk.: Analysis of Images, Social Networks and Texts. 6th International Conference, 2017, Lecture Notes in Computer Science, Revised Selected Papers. Vol. 10716. Cham: Springer, 2018. Ch. 18. P. 197-209.

Working paper
Heterogeneity in demand and optimal price conditioning for local rail transport

Ozhegov E. M., Ozhegova A.

Machine Learning. 1905.12859. arXiv, 2019

Tag "new at HSE" – News

Robot Isaac Starts Working at HSE

Robot Isaac Starts Working at HSE
Isaac, a new robot at HSE, will automatically process publications by HSE staff and make the results of various competitive campaigns more predictable for each employee.

Bloomberg Hub Opens at HSE School of Finance

Bloomberg Hub Opens at HSE School of Finance
From June 2017 a Bloomberg hub offering unlimited data access will be available at the HSE building at 26 Shabolovka. The Bloomberg database comprises extensive, constantly updated data on global and national capital markets, transactions involving financial assets, derivatives, as well as market liquidity options, trading applications and news flow.

First Ever Monument to Anonymous Peer Reviewer Unveiled at HSE

First Ever Monument to Anonymous Peer Reviewer Unveiled at HSE
The concrete block in the courtyard of the HSE Institute of Education has been a lasting image of the WW2 era. However, last summer, the institute’s staff came up with the idea of turning it into a piece of art. The idea was put forth by Igor Chirikov, Director of theCentre of Sociology of Higher Education, whereby this useless piece of concrete would be transformed into a monument to the ‘anonymous peer reviewer’. Moreover, this idea ended up garnering the most support as a result of an internal vote.