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Regular version of the site
Article
Statistical inference for scale mixture models via Mellin transform approach

Belomestny D., Morozova E., Panov V.

Statistics. 2024. Vol. 58. No. 1. P. 209-229.

Book chapter
Higher education and regional elite formation in Russia

Aleksei Egorov, Sergey Malinovskiy.

In bk.: Assessing the Contributions of Higher Education: Knowledge for a Disordered World. Cheltenham: Edward Elgar Publishing, 2023. Ch. 14. P. 286-299.

News for Master's and Bachelor's Students

In September 2014, the Higher School of Economics gained six new employees who will give lectures and conduct academic research on stochastic analysis.

In September 2014, the Higher School of Economics gained six new employees who will give lectures and conduct academic research on stochastic analysis. Four of these instructors are full professors at well-known European universities:

They will work at HSE’s Laboratory of Stochastic Analysis and its Applications.

Active scientific work is already underway in the laboratory – in the autumn of this year, various lectures are planned to take place, as are three international conferences. The themes of the lectures and academic projects are diverse – from modern mathematical statistics and the theory of stochastic processes all the way to numerical methods.

More information about the laboratory can be found on the website.

The department also gained two other new staff members this September:

  • Mark Kelbert is a recognized expert in the theory of Markov processes, in particular, branching diffusion processes. Mark has experience in applying probabilistic methods to physics, biology and medicine. Mark spent a long time working at the University of Swansea (South West Wales, UK). This autumn Mr. Kelbert will teach classes in actuarial calculations in risky types of insurance (second year master’s course in the School of Statistics, Data Analysis and Demography), probability theory (first year course, part of master’s programme in Academic Economics), and econometrics (second year master’s course in School of Statistics, Data Analysis and Demography).
  • Quentin Paris was hired by the Department of Statistics and Data Analysis through the international recruiting programme. Quentin defended his dissertation at France’s prestigious Ecole Normale Superieure de Cachan before working as a postdoc at ENSAE University. Quentin’s research interests relate to nonparametric statistics and statistical dimension reduction. In the new academic year, he will teach Data Mining courses at the HSE, as well as a course in econometrics. Quentin will also actively participate in research projects.

V. A. Panov