MC 2025: различия между версиями

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with the usual (arithmetical) rounding rule.
with the usual (arithmetical) rounding rule.


== Lectures ==
== Lectures and Seminars ==
* [https://disk.360.yandex.ru/d/ZeQ_os4lm6fvQw] - Lectures and seminars from current academic year
* [https://disk.360.yandex.ru/d/ZeQ_os4lm6fvQw] - Lectures and seminars from current academic year (videos)


* [https://disk.yandex.ru/d/UUDGXL0hsdaK5w] - Lectures from 2024-2025 academic year, slightly different topics
* [https://disk.yandex.ru/d/UUDGXL0hsdaK5w] - Lectures from 2024-2025 academic year, slightly different topics


* [https://disk.yandex.ru/d/6MgXynxl25djvA] - Lectures from 2023-2024 academic year, slightly different topics
* [https://disk.yandex.ru/d/6MgXynxl25djvA] - Lectures from 2023-2024 academic year, slightly different topics
* [https://disk.yandex.ru/d/cXeyH_vL3fEb_g] - Seminars from 2023-2024 academic year, slightly different topics


== Seminars ==
== Seminars ==

Версия от 17:09, 8 ноября 2025

Lecturers and Seminarists

Lecturer Sergey Samsonov [svsamsonov@hse.ru] T904
Seminarist Marina Sheshukova [msheshukova@hse.ru] T926

About the course

This page provides materials for the Markov Chains course (2025/2026), which is mandatory for 1st-year Master’s students in the MML program (HSE and Skoltech). Please, join the Telegram Group.

Grading

The final grade consists of 2 components (each is non-negative real number from 0 to 10, without any intermediate rounding) :

  • OHW for the hometasks
  • OExam for the final exam

The formula for the final grade is

  • OFinal = 0.5*OHW + 0.5*OExam

with the usual (arithmetical) rounding rule.

Lectures and Seminars

  • [1] - Lectures and seminars from current academic year (videos)
  • [2] - Lectures from 2024-2025 academic year, slightly different topics
  • [3] - Lectures from 2023-2024 academic year, slightly different topics
  • [4] - Seminars from 2023-2024 academic year, slightly different topics

Seminars

TBD

Homeworks

TBD

Exam

TBD

Recommended literature

  • Leonid B. Koralov Yakov G. Sinai - Theory of Probability and Random Processes;
  • Yuri Suhov, Mark Kelbert - Probability and Statistics by Example: Volume 2;
  • Randal Douc , Eric Moulines , Pierre Priouret , Philippe Soulier - Markov Chains.