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SPIN-RSCI: 9351-8703
ORCID: 0000-0001-8467-3007
ResearcherID: B-1877-2013
Scopus AuthorID: 6603720492
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Supervisors
A. Chepurenko
A. Naumov
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Vladimir V. Ulyanov

  • Vladimir V. Ulyanov has been at HSE since 2009.

Education, Degrees and Academic Titles

  • 1994

    Doctor of Sciences* in Probability Theory and Mathematical Statistics
    Steklov Mathematical Institute of the Russian Academy of Sciences

  • 1990
    Associate Professor
  • 1978

    Candidate of Sciences* (PhD) in Probability Theory and Mathematical Statistics
    Lomonosov Moscow State University

  • 1975

    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.
* Doctor of Sciences
A post-doctoral degree called Doctor of Sciences is given to reflect second advanced research qualifications or higher doctorates in ISCED 2011.

Student Term / Thesis Papers

Full list of of student term / thesis papers

Courses (2018/2019)

Courses (2017/2018)

Courses (2016/2017)

Courses (2014/2015)

Courses (2013/2014)

Courses (2012/2013)

Courses (2011/2012)

Courses (2010/2011)

Editorial board membership

2013: Member of the Editorial Board, International Journal of Advanced Statistics and Probability.

Publications


Other publications39

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.

‘The Future Belongs to Network Analysis’

What do staff efficiency, power of the Medici family, and the Ebola epidemic have in common? It is that they can be studied with network analysis. In 2017, HSE launched a new English-taught master’s programme ‘Applied Statistics with Network Analysis’.Valentina Kuskova, head of theInternational laboratory for Applied Network Research, told the HSE news service how network research works in social studies.