Sample 2026: различия между версиями

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== Homeworks ==
== Homeworks ==
To submit homework, join
TBD
[https://classroom.google.com/c/NzkyNDAwMjkzMDQ4?cjc=w5anjhzk '''Google classroom'''] — invite code '''w5anjhzk'''
 
Homework solution file should be readable and well-organized.
* [https://disk.yandex.ru/i/xrYStL_bgmuQ4w HW 1,  deadline: 26.11.2025, 23:59]
* [https://disk.yandex.ru/i/6aKPBqLIyiVpFQ HW 2,  deadline: 08.12.2025, 23:59]
* [https://disk.yandex.ru/i/NZiqfvAMuY7vRg HW 3,  deadline: 20.12.2025, 23:59]
 
Homework results:
* [https://docs.google.com/spreadsheets/d/161zusCoAHYV7ISXrNjaTBJrgbUVyQBC8wYMjFB_EyWc/edit?usp=sharing link ]


== Exam ==
== Exam ==

Версия от 15:06, 8 февраля 2026

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 Sampling 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

Lectures and Seminars

  • [1] - Lecture notes, current academic year
  • [2] - Lectures and seminars from the Markov chains course (videos)
  • [3] - Lectures and seminars notes, Markov chains course (last update: 06.12.2025)

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.