Sample 2026: различия между версиями
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| (не показана 1 промежуточная версия этого же участника) | |||
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== Lectures and Seminars == | == Lectures and Seminars == | ||
* [https://disk.360.yandex.ru/d/ | * [https://disk.360.yandex.ru/d/tBaY7zw39I-kdg] - Lecture notes, current academic year | ||
* [https://disk.360.yandex.ru/d/ZeQ_os4lm6fvQw] - Lectures and seminars from the Markov chains course (videos) | * [https://disk.360.yandex.ru/d/ZeQ_os4lm6fvQw] - Lectures and seminars from the Markov chains course (videos) | ||
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== Homeworks == | == Homeworks == | ||
TBD | |||
== Exam == | == Exam == | ||
Текущая версия от 17:14, 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.