Statistics4MR-2022-23 — различия между версиями
Bdemeshev (обсуждение | вклад) |
Bdemeshev (обсуждение | вклад) |
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(не показано 5 промежуточных версии 2 участников) | |||
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== Log-book == | == Log-book == | ||
− | [https://www.youtube.com/playlist?list=PLGpdGKp2JUvz4rUd_bvyBBmxArWJX0w6R Lecture recordings] | + | [https://www.youtube.com/playlist?list=PLGpdGKp2JUvz4rUd_bvyBBmxArWJX0w6R Lecture recordings: youtube] |
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+ | [https://disk.yandex.ru/d/_Jj2yGpdqIXykg lecture recordings: ya-folder] | ||
[https://drive.google.com/drive/folders/1sEFIKasOituMMwqvkAGmTou1ctxIWOfn Seminar recordings] | [https://drive.google.com/drive/folders/1sEFIKasOituMMwqvkAGmTou1ctxIWOfn Seminar recordings] | ||
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+ | [https://github.com/xenakas/stat4mr_2022/tree/main/lecture_notes Lecture handwritten notes] | ||
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+ | [https://github.com/xenakas/stat4mr_2022/raw/main/ha/stat4mr.pdf HA1]: deadline: 2022-12-06, 21:00. | ||
'''Week 1''' | '''Week 1''' | ||
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Examples of bootstrap failures, problem solving | Examples of bootstrap failures, problem solving | ||
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+ | '''Week 4''' | ||
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+ | Welch test, Mann-Whitney test | ||
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+ | '''Week 5''' | ||
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+ | Sample size calculation exercises, MDE | ||
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+ | '''Week 6''' | ||
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+ | Multiple comparisons: FWER. | ||
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+ | '''Week 8''' | ||
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+ | Multiple comparisons: FDR. | ||
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+ | '''Week 9''' | ||
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+ | PCA+SVD: maximum variance approach | ||
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+ | '''Week 10''' | ||
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+ | PCA+SVD: average R2 maximization | ||
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+ | '''Week 11''' | ||
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+ | PCA+SVD: problem solving |
Текущая версия на 12:37, 24 ноября 2022
Содержание
Plan
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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
HA1: deadline: 2022-12-06, 21:00.
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.
Week 3
Examples of bootstrap failures, problem solving
Week 4
Welch test, Mann-Whitney test
Week 5
Sample size calculation exercises, MDE
Week 6
Multiple comparisons: FWER.
Week 8
Multiple comparisons: FDR.
Week 9
PCA+SVD: maximum variance approach
Week 10
PCA+SVD: average R2 maximization
Week 11
PCA+SVD: problem solving