imported>Axyniia: Migrated current public revision from wiki.cs.hse.ru

2021-10-25T15:52:48Z

Migrated current public revision from wiki.cs.hse.ru

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= About =

This page contains information about Statistics course at DSBA.

Actual syllabus can be found [https://www.dropbox.com/s/1rxg7910zxakznv/Syllabus%20for%20Statistics%20CS%20HSEv2.pdf?dl=0 here].

= Teachers and assistants =

{| class="wikitable" style="text-align:center"
|-
! Group!! БПАД201 !! БПАД202 !! БПАД203
|-
|| Teacher ||colspan="3"| [https://www.hse.ru/org/persons/14276760 Peter Lukianchenko]
|-
|| Assistant || || || ||
|}

= Communication =

We use Telegram messenger to share files and Zoom meetings links.

Link to course channel: [https://t.me/stathard20 click]

= Lecture notes =

'''[https://www.dropbox.com/s/9rfctx62918trey/1%20Lect%20Sept1_d.pdf?dl=0 Lecture 1]''' (01.09.2020). Welcome to Statistics!

'''[https://www.dropbox.com/s/ttiuqmi7nu9e641/Lecture%202.pdf?dl=0 Lecture 2]''' (08.09.2020). Axioms of probability. Basics of combinatorics. Geometric probability.

'''[https://www.dropbox.com/s/26t4yx47iijxmq9/3.%20Stat_3%20%28ppt%2097-2003%29_d.pdf?dl=0 Lecture 3]''' (15.09.2020). Random variable. Discrete pdf. Expectation and variance. Bernoulli distribution. Bayes rule.

'''[https://www.dropbox.com/s/41sobtq08y48947/4%20Lecture%20.pdf?dl=0 Lecture 4]''' (22.09.2020). Joint discrete distribution. Conditional probability. Covariance. Correlation.

'''[https://www.dropbox.com/s/1q0ac1abnpw9tne/5%20Statistics_Lect%20sept%2029_done%20%20-%20%20Compatibility%20Mode.pdf?dl=0 Lecture 5]''' (29.09.2020) Covariance. Correlation. Continuous distribution.

'''[https://www.dropbox.com/s/usyhdpte0uoakjf/6%20Lecture.pdf?dl=0 Lecture 6]''' (06.10.2020) Continuous distribution.

'''[https://www.dropbox.com/s/xvcmqibbyw22y7k/Lecture%207.pdf?dl=0 Lecture 7]''' (13.10.2020) Normal distribution. Standard normal distribution. Joint distribution. Uniform distribution.

'''[https://www.dropbox.com/s/ry3emtfy2f6z4md/8%20Lecture%20.pdf?dl=0 Lecture 8]''' (27.10.2020) Data representation. Exponential, Poisson, and Uniform distributions. Continuity correction.

'''[https://www.dropbox.com/s/s4gnj126k1qb2wt/9%2010%20Lecture.pdf?dl=0 Lectures 9-10]''' (2-3.11.2020) Law of large numbers. Distribution of a function of random variable. Distribution of sample proportion. Chi-squared distribution.

'''[https://www.dropbox.com/s/5cvlqt341z83v1v/11%20Lecture.pdf?dl=0 Lecture 11]''' (9.11.2020) Point estimation.

'''[https://www.dropbox.com/s/ulk6m9zm0raozpd/12%20Lecture%20November%2010.pdf?dl=0 Lecture 12]''' (16.11.2020) Likelihood function.

'''[https://www.dropbox.com/s/ufo1d3rrdbsd8sl/14%20Lecture.pdf?dl=0 Lecture 14]''' (23.11.2020) Confidence intervals. Part 1

'''[https://www.dropbox.com/s/rwbqyxnde0y6mcl/15%20Lecture.pdf?dl=0 Lecture 15]''' (30.11.2020) Confidence intervals. Part 2

= Seminar notes =

'''[https://www.dropbox.com/s/on7mye1f5kpqq0h/sem%201%20Afanasev.pdf?dl=0 Seminar 1]'''

'''[https://www.dropbox.com/s/9916r2ewhbjcj5b/sem%203%20Afanasev.pdf?dl=0 Seminar 3]'''

'''[https://www.dropbox.com/s/vs5vrc1b2kwkbxd/sem%204%20Afanasev.pdf?dl=0 Seminar 4]'''

'''[https://www.dropbox.com/s/c8xlztowczpsv2m/sem%205%20Afanasev.pdf?dl=0 Seminar 5]'''

'''[https://www.dropbox.com/s/j6czzeo8taydnaa/sem%206%20Afanasev.pdf?dl=0 Seminar 6]'''

'''[https://www.dropbox.com/s/ljwj09tm80fbp4c/sem%207%20Afanasev.pdf?dl=0 Seminar 7]'''

'''[https://www.dropbox.com/s/oyksqc0naaz03rq/sem%209%20orig.pdf?dl=0 Seminar 9]'''

'''[https://www.dropbox.com/s/0yv7oskrs4bizjf/sem%2010-11%20Afanasev.pdf?dl=0 Seminar 10-11]'''

'''[https://www.dropbox.com/s/57efg2oxnfz2228/sem%2012%20Afanasev.pdf?dl=0 Seminar 12]'''

'''[https://www.dropbox.com/s/3is9ejn0pv985ll/sem%2013%20Afanasev.pdf?dl=0 Seminar 13]'''

'''[https://www.dropbox.com/s/o8080kj8r879hw0/sem%2014%20Afanasev.pdf?dl=0 Seminar 14]'''

'''[https://www.dropbox.com/s/dv9s6pp3j7mg3or/sem%2015%20Afanasev.pdf?dl=0 Seminar 15]'''

'''[https://www.dropbox.com/s/tn52snxcnw95q2i/sem%2016%20Afanasev.pdf?dl=0 Seminar 16]'''

'''[https://www.dropbox.com/s/vm3t30if7lzqp2x/sem%2017%20Afanasev.pdf?dl=0 Seminar 17]'''

= Hometask =

'''[https://docs.google.com/spreadsheets/d/1SnpdGSW5gOMmhbyNOgfIdLn1RFV5Wg-pYgbV73-LWdE/edit?usp=drivesdk Link to Google Sheet with grades]'''

'''[https://www.dropbox.com/s/zt1kvle0soj68h0/HW1.pdf?dl=0 Hometask 1]''' (Deadline: 18.09.2020) Basics of Probability.

'''[https://www.dropbox.com/s/i0toc0bae2tk5mm/HW2.pdf?dl=0 Hometask 2]''' (Deadline: 25.09.2020) Probabilities of Complex Events.

'''[https://www.dropbox.com/s/5o71fadci8gg0dm/HW3.pdf?dl=0 Hometask 3]''' (Deadline: 02.10.2020) Expectation and variance.

'''[https://www.dropbox.com/s/fcyv79ytugxzcej/HW4.pdf?dl=0 Hometask 4]'''

'''[https://www.dropbox.com/s/25s9ngvn1my6c0i/Stat2020_HW_5.pdf?dl=0 Hometask 5]'''

'''[https://www.dropbox.com/s/3901iimtuzy6e01/Stat2020_HW_6.pdf?dl=0 Hometask 6]'''

'''[https://www.dropbox.com/s/wzw2dqoj0byzgwx/Stat2020_HW_7.pdf?dl=0 Hometask 7]''' (Deadline: 07.12.2020) Method of Moments. Least Squares. Maximum Likelihood.
Confidence intervals.

= Grading system =

Interim assessment (1 module)

0.7 * FallMock (October Midterm) + 0.3 * First module Home assignments

Interim assessment (4 module)

0.17 * 2nd-4th module Home assignments + 0.09 * FinalExam (June Exam) + 0.16 * Interim assessment (1 module) + 0.12 * SpringMock (Spring Midterm) + 0.3 * University of London exams (May Exam) + 0.16 * WinterExam (December Exam)

All marks are out of 100 points.

== Rules ==

*Homework submitted after the general deadline will not be accepted.
*The common mistakes made in the homework will be discussed during the seminars.
*Any fact of cheating or breach of academic integrity will result in receiving a "0" (zero) for this work.

Statistics DSBA 2020/2021 - История изменений

imported>Axyniia: Migrated current public revision from wiki.cs.hse.ru