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<p><b>Новая страница</b></p><div>== Lecturers and Seminarists ==<br />
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{| class="wikitable" style="text-align:center"<br />
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|| Lecturer || [https://www.hse.ru/org/persons/219484540/ Sergey Samsonov ] || [svsamsonov@hse.ru] || T904<br />
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|| Seminarist || [https://www.hse.ru/org/persons/305137706/ Marina Sheshukova] || [msheshukova@hse.ru] || T926<br />
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|}<br />
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== About the course ==<br />
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 [https://t.me/+qB7RtTd3mdJiY2Qy Telegram Group].<br />
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== Grading == <br />
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== Lectures and Seminars ==<br />
* [https://disk.360.yandex.ru/d/tBaY7zw39I-kdg] - Lecture notes, current academic year<br />
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* [https://disk.360.yandex.ru/d/ZeQ_os4lm6fvQw] - Lectures and seminars from the Markov chains course (videos)<br />
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* [https://disk.360.yandex.ru/i/2WvVSdYm4yRyOA] - Lectures and seminars notes, Markov chains course (last update: 06.12.2025)<br />
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== Homeworks ==<br />
TBD<br />
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== Exam ==<br />
TBD<br />
== Recommended literature ==<br />
*Leonid B. Koralov Yakov G. Sinai - Theory of Probability and Random Processes;<br />
*Yuri Suhov, Mark Kelbert - Probability and Statistics by Example: Volume 2;<br />
*Randal Douc , Eric Moulines , Pierre Priouret , Philippe Soulier - Markov Chains.</div>imported>Svsamsonov