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Master’s Programme “Statistical Learning Theory”

The Statistical Learning Theory is a joint MSc program of Higher School of Economics (HSE) and Skoltech. This program stands at the crossroads of various disciplines of modern mathematics and computer science, including statistics, optimization, learning theory, information theory, complexity theory, as well as at the intersection of science and innovation in the field of modern information technology. Leading experts at HSE and Skoltech jointly provide instruction in this unique research-driven program.

Courses taught by members of the laboratory

  • Advanced Statistical Methods
    Instructors: Vladimir Spokoiny.
  • High-dimensional statistics
    Instructors: Quentin Paris.
  • Modern Methods of Data Analysis: Stochastic Calculus
    Instructors: Denis Belomestny, Alexey Naumov.
  • Random Matrix Theory
    Instructors: Alexey Naumov, Leonid Iosipoi.
  • Time Series Analysis
    Instructors: Denis Belomestny.

 

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