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Address: Moscow, 115162, Shabolovka 31, korp. G, room 727
Timetable
ORCID: 0000-0002-9482-6430
ResearcherID: A-4393-2014
Scopus AuthorID: 15069577900
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Supervisors
A. Naumov
A. Sobolevski
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Denis Belomestny

  • Denis Belomestny has been at HSE since 2014.

Education and Degrees

  • 2002

    Candidate of Sciences* (PhD)

  • 1998

    Degree
    Lomonosov Moscow State University

* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.

Courses (2018/2019)

Courses (2017/2018)

Courses (2016/2017)

Courses (2014/2015)

Monte-Carlo Methods in Finance (Master’s programme; Faculty of Economic Sciences; 1 year, 3, 4 module)Rus

Courses (2013/2014)

Publications29

Conferences

  • 2015
    10th IMACS Seminar on Monte Carlo Methode (Линц). Presentation: Multilevel Monte Carlo for weak approximation schemes
  • Workshop on "Nonparametric and high-dimensional statistics", Heidelberg (Хайдельберг). Presentation: Low-rank diffusion covariance matrix estimation under presence of jumps

Employment history

1998 - 2002  Moscow State University

2002 - 2003  Institute for Applied Mathematics (Bonn) 

2003 - 2011 Weierstrass Institute for Applied Analysis and Stochastics (Berlin) 

2011 - now  University of Duisburg - Essen

Timetable for today

Full timetable

HDI Lab staff attend International Vilnius Conference on Probability Theory and Mathematical Statistics 2018

12th International Vilnius Conference on Probability Theory and Mathematical Statistics and 2018 IMS Annual Meeting on Probability and Statistics took place in Vilnius (Lithuania) on July 2-6. This is one of the world's leading conferences in the field of modern probability theory and mathematical statistics, which is held every four years since 1973. This year over 200 works were presented at the event and 500 participants from all over the globe attended it.

Structural Learning Seminar Summer Meeting

On 19 July at 11 am an extraordinary meeting of Structural Learning Seminar was held on the Faculty of Computer Science.

Laboratory Researchers Received Russian Science Foundation Grant

Team of researchers of the HSE International Laboratory of Stochastic Algorithms and High-Dimensional Inference was announced as a winner of the Russian Science Foundation Grant Competition to support fundamental and exploratory scientific research conducted by individual scientific groups and was awarded three-year grant for implementation of the project "Analysis of high dimensional random objects with applications to large scale data processing" (RSF №18-11-00132).

HSE Lends Its Support to the Very First Conference in ‘New Frontiers in High-Dimensional Probability and Statistics’

On February 23 and 24, the Institute for Information Transmission Problems of the Russian Academy of Sciences hosted the first international mini-conference entitled ‘New frontiers in high-dimensional probability and statistics’. The event was attended by Russian and international researchers in the field of statistical methods of analysis of multidimensional data and modern stochastic algorithms. The conference was hosted by HSE, the Institute for Information Transmission Problems of the RAS and Skoltech. Organisers included HSE Faculty of Computer Science staff, Vladimir Spokoiny, Alexey Naumov, Denis Belomestny and Quentin Paris.

‘Our Programme Aims to Make a Research Breakthrough at the Intersection of Mathematics and Computer Science’

In 2017, the HSE Faculty of Computer Science and Skoltech are opening admissions to the Master’s programme inStatistical Learning Theory, which will become the successor to theMathematical Methods of Optimization and Stochastics programme.Vladimir Spokoiny, the programme’s academic supervisor and professor of mathematics at Humboldt University in Berlin, told us about the research part of the new programme and the opportunities it offers to both Master’s students and undergraduate students alike.