Statistics4MR-2022-23 — различия между версиями
Материал из Wiki - Факультет компьютерных наук
Bdemeshev (обсуждение | вклад) |
Bdemeshev (обсуждение | вклад) |
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Final grade = 0.5 * Fall grade + 0.2 HA + 0.3 * Final exam | Final grade = 0.5 * Fall grade + 0.2 HA + 0.3 * Final exam | ||
− | == | + | == Log-book == |
− | + | '''Week 1''' | |
− | [http://web.cecs.pdx.edu/~cgshirl/Documents/Demonstrations/1983%20Efron%20Gong%20A%20Leisurely%20Look%20at%20the%20Bootstrap%20Jackknife%20CV%20CV_Boot_Jack2685844.pdf Efron, Leisurely Look] | + | Naive bootstrap, t-statistic bootstrap |
+ | |||
+ | Sources of wisdom: | ||
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+ | [http://web.cecs.pdx.edu/~cgshirl/Documents/Demonstrations/1983%20Efron%20Gong%20A%20Leisurely%20Look%20at%20the%20Bootstrap%20Jackknife%20CV%20CV_Boot_Jack2685844.pdf Efron, Leisurely Look at bootstrap, jackknife and cv] | ||
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+ | [https://arxiv.org/abs/1411.5279 Tim Hesterberg, What Teachers Should Know about the Bootstrap?] | ||
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+ | '''Week 2''' | ||
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+ | Variance estimation: jackknife, bootstrap. Bootstrap in bootstrap. |
Версия 18:04, 15 сентября 2022
Содержание
Plan
Module 1
(1 lecture + 1 class per group X 7 weeks)
Bootstrap + Jacknife + CV Sampling Welch test Mann-Whitney test Sample size calculation Multiple comparison corrections
Module 2
(1 lecture + 1 class per group X 8 weeks)
CUPED Difference in Difference estimator Matching Contingency tables, Chi-squared tests ANOVA, ANCOVA Partial correlation + problem solving
Module 3
(1 lecture + 1 class per group X 11 weeks)
Discriminant analysis Logit PCA Factor analysis Cluster analysis, Dendrogramms Conjoint Analysis Multidimensional scaling
Grades
UoL grade = 0.7 * UoL exam + 0.3 * UoL coursework
Internal grades:
Fall grade = 0.4 * HA + 0.6 December Exam
Final grade = 0.5 * Fall grade + 0.2 HA + 0.3 * Final exam
Log-book
Week 1
Naive bootstrap, t-statistic bootstrap
Sources of wisdom:
Efron, Leisurely Look at bootstrap, jackknife and cv
Tim Hesterberg, What Teachers Should Know about the Bootstrap?
Week 2
Variance estimation: jackknife, bootstrap. Bootstrap in bootstrap.