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Intake every 3 weeks! There is no "application deadline" — you can start any upcoming module!Intake every 3 weeks! — apply anytime!
Studies
Admissions
The Institute
Resources
Intake every 3 weeks! There is no "application deadline" — you can start any upcoming module!Intake every 3 weeks! — apply anytime!
Studies
Admissions
The Institute
Resources
Andrey Khokhlov
Data Science

Andrey Khokhlov

Chief Researcher, IEPT RAS

Faculty Profile

After getting his Ph.D. in Algebraic Topology in 1983 Andrey worked in several scientific and/or teaching organisations, among them are the Russian Academy of Sciences, Moscow State University, and Baumann Technology University. The Scientific advising of the graduate and thesis students was part of his activities, not only in Russia, but also in France.

Andrey’s main results in science are linked with geophysical data processing, so naturally his teaching interests are now concentrated in the applied methods of Statistics and their algorithmic implementations. He currently helps his students avoid some common errors within the probabilistic inferences and support their attempts to study Probability and Statistics theory in general.

Publications

  • 1983

    On the Morava K-theories. Lect. Notes Math

    Springer

  • 1977

    On the Backus Effect I

    Geophys. J. Int.

  • 1998

    An Analysis of the Geomagnetic Field Over the Past 2000 Years.

    Phys. Earth Planet. Inter.

  • 2004

    Small Values of the Maximum for the Integral of Fractional Brownian Motion

    Journal of Statistical Physics.

  • 2004

    Classification of Harmonic Functions in the Exterior of the Unit Ball

    Math. Notes

  • 2005

    Statistical paleomagnetic field modeling and dynamo numerical simulation

    Geophys. J. Int

  • 2006

    Testing statistical palaeomagnetic field models against directional data affected by measurement errors

    Geophys. J. Int

  • 2009

    On implementation of a blowing-up tornado type of a complex 3D Navier-Stokes system

    Russian Mathematical Survey

  • 2015

    Palaeointensity and Brunhes palaeomagnetic field models

    Geophys. J. Int

  • 2016

    Converting a Maximum Angular Deviation (MAD) into an α95 angle

    Geophys. J. Int

  • 2017

    On the cause of the non-Gaussian distribution of residuals in geomagnetism

    Geophys. J. Int

  • 2019

    Analysis of the hypothesis of a giant gaussian process as a means for describing secular variations of the geomagnetic field vector

    Izvestiya, Physics of the Solid Earth

Courses by Andrey

Data Science

Probability and Statistics: Theory and Implementation (2026)

09 Nov - 27 Nov 2026

Barcelona

Data Science

Probability and Statistics: Theory and Implementation (2025)

10 Nov - 28 Nov 2025

Barcelona

Computer Science

Intro to Probability and Statistics (2024)

17 Mar - 04 Apr 2025

Bangkok

Data Science

Probability and Statistics: Theory and Implementation (2024)

11 Nov - 29 Nov 2024

Barcelona

Computer Science

Intro to Probability and Statistics (2023)

16 Apr - 03 May 2024

Bangkok

Data Science

Probability and Statistics: Theory and Implementation (2023)

06 Nov - 24 Nov 2023

Barcelona

Data Science

Probability and Statistics: Theory and Implementation (2022)

07 Nov - 25 Nov 2022

Barcelona

Data Science

Probability and Statistics: Theory and Implementation (2021)

29 Nov - 17 Dec 2021

Online

Data Science

Probability Theory and Applications (upcoming)

25 Oct - 12 Nov 2021

Bangkok

Data Science

Probability and Statistics: Theory and Implementation (2020)

30 Nov - 18 Dec 2020

Online

Data Science

Probability Theory 1

09 Nov - 27 Nov 2020

Online

Data Science

Statistical Data Analysis

09 Mar - 27 Mar 2020

Barcelona

Data Science

Probability Theory and Applications (2019)

25 Nov - 13 Dec 2019

Barcelona

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