https://www.wikicshse.ru/index.php?action=history&feed=atom&title=Probability_and_Statistics_%28DSBA%29Probability and Statistics (DSBA) - История изменений2026-06-06T12:14:12ZИстория изменений этой страницы в викиMediaWiki 1.45.3https://www.wikicshse.ru/index.php?title=Probability_and_Statistics_(DSBA)&diff=575&oldid=previmported>Sgalevskaya: Migrated current public revision from wiki.cs.hse.ru2022-11-18T09:14:41Z<p>Migrated current public revision from wiki.cs.hse.ru</p>
<p><b>Новая страница</b></p><div>= About =<br />
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This page contains information about Statistics course at DSBA.<br />
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Actual syllabus can be found [https://www.dropbox.com/s/1rxg7910zxakznv/Syllabus%20for%20Statistics%20CS%20HSEv2.pdf?dl=0 here].<br />
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= Teachers and assistants =<br />
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{| class="wikitable" style="text-align:center"<br />
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! Group!! БПАД211 !! БПАД212 !! БПАД213 !! БПАД214<br />
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|| Teacher ||colspan="4"| [https://www.hse.ru/org/persons/14276760 Peter Lukianchenko] <br />
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|| Assistant || Maria Alekseeva || Matvey Ryumin || Kirill Khodakovskiy || Anastasia Chernysheva<br />
|}<br />
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= Communication =<br />
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We use Telegram messenger to share files and Zoom meetings links.<br />
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Link to course channel: [https://t.me/stathard2022 click]<br />
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= Lecture notes =<br />
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'''[https://www.dropbox.com/s/9rfctx62918trey/1%20Lect%20Sept1_d.pdf?dl=0 Lecture 1]''' (01.09.2021). Welcome to Statistics!<br />
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'''[https://www.dropbox.com/s/ttiuqmi7nu9e641/Lecture%202.pdf?dl=0 Lecture 2]''' (08.09.2021). Axioms of probability. Basics of combinatorics. Geometric probability.<br />
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'''[https://www.dropbox.com/s/26t4yx47iijxmq9/3.%20Stat_3%20%28ppt%2097-2003%29_d.pdf?dl=0 Lecture 3]''' (15.09.2021). Random variable. Discrete pdf. Expectation and variance. Bernoulli distribution. Bayes rule.<br />
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'''[https://www.dropbox.com/s/41sobtq08y48947/4%20Lecture%20.pdf?dl=0 Lecture 4]''' (22.09.2021). Joint discrete distribution. Conditional probability. Covariance. Correlation.<br />
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'''[https://www.dropbox.com/s/1q0ac1abnpw9tne/5%20Statistics_Lect%20sept%2029_done%20%20-%20%20Compatibility%20Mode.pdf?dl=0 Lecture 5]''' (29.09.2021) Covariance. Correlation. Continuous distribution.<br />
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'''[https://www.dropbox.com/s/usyhdpte0uoakjf/6%20Lecture.pdf?dl=0 Lecture 6]''' (06.10.2021) Continuous distribution.<br />
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'''[https://www.dropbox.com/s/xvcmqibbyw22y7k/Lecture%207.pdf?dl=0 Lecture 7]''' (13.10.2021) Normal distribution. Standard normal distribution. Joint distribution. Uniform distribution.<br />
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'''[https://www.dropbox.com/s/ry3emtfy2f6z4md/8%20Lecture%20.pdf?dl=0 Lecture 8]''' (27.10.2021) Data representation. Exponential, Poisson, and Uniform distributions. Continuity correction.<br />
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'''[https://www.dropbox.com/s/s4gnj126k1qb2wt/9%2010%20Lecture.pdf?dl=0 Lectures 9-10]''' (2-3.11.2021) Law of large numbers. Distribution of a function of random variable. Distribution of sample proportion. Chi-squared distribution.<br />
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= Seminar notes =<br />
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= Hometask =<br />
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= Grading system =<br />
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2022/2023 2nd module<br><br />
0.25 * Fall Home assignments + 0.25 * Fall midterm + 0.5 * Winter exam<br><br />
2022/2023 4th module<br><br />
Module2_score*0,3+ HA (m3-m4)*0,3+ Spring Midterm*0,25+Final Exam*0,15<br />
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== Rules ==<br />
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*Homework submitted after the general deadline will not be accepted. <br />
*The common mistakes made in the homework will be discussed during the seminars. <br />
*Any fact of cheating or breach of academic integrity will result in receiving a "0" (zero) for this work.</div>imported>Sgalevskaya