Statistics4MR-2022-23 — различия между версиями
Материал из Wiki - Факультет компьютерных наук
Bdemeshev (обсуждение | вклад) |
Bdemeshev (обсуждение | вклад) |
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Строка 62: | Строка 62: | ||
[https://arxiv.org/abs/1411.5279 Tim Hesterberg, What Teachers Should Know about the Bootstrap?] | [https://arxiv.org/abs/1411.5279 Tim Hesterberg, What Teachers Should Know about the Bootstrap?] | ||
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'''Week 2''' | '''Week 2''' | ||
Variance estimation: jackknife, bootstrap. Bootstrap in bootstrap. | Variance estimation: jackknife, bootstrap. Bootstrap in bootstrap. | ||
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+ | '''Week 3''' | ||
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+ | Examples of bootstrap failures, problem solving |
Версия 10:29, 29 сентября 2022
Содержание
Plan
Нажми "развернуть", чтобы просмотреть содержимое - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 🡣
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.
Week 3
Examples of bootstrap failures, problem solving