Icef-dse-2022-23 — различия между версиями
Материал из Wiki - Факультет компьютерных наук
Bdemeshev (обсуждение | вклад) |
Bdemeshev (обсуждение | вклад) |
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[https://t.me/icef_dse_2022_23 Tg channel] | [https://t.me/icef_dse_2022_23 Tg channel] | ||
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| + | [https://www.youtube.com/playlist?list=PLGpdGKp2JUvzdCI7DVy0vZP588Xk4iSIH Video lectures] | ||
===Grades=== | ===Grades=== | ||
Версия 10:38, 12 сентября 2022
Data science for economists
General info
One semester course, 2022-23 iteration will use python.
Lecturer: Boris Demeshev
Class teacher: Nikita Toropov
Grades
Grade = 0.1 * HA1 + 0.1 * HA2 + 0.1 * HA3 + 0.1 * HA4 + 0.6 * Exam
Exam: offline, written form, no computers
HAs: offline, groups of two students are allowed
Logs
Week 1. Resampling methods
Naive bootstrap. Bootstrap of t-statistic.
Efron, Leisurely Look at bootstrap, jackknife and cv
Tim Hesterberg, What Teachers Should Know about the Bootstrap
Week 1. Resampling methods
Estimation of variance. Bootstrap in bootstrap.
