Statistics4MR-2022-23 — различия между версиями

Версия 15:06, 9 октября 2022

Plan

Нажми "развернуть", чтобы просмотреть содержимое - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 🡣

   Bootstrap + Jacknife + CV
   Sampling
   Welch test
   Mann-Whitney test
   Sample size calculation
   Multiple comparison corrections

   CUPED
   Difference in Difference estimator
   Matching
   Contingency tables, Chi-squared tests
   ANOVA, ANCOVA
   Partial correlation + problem solving 

   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

Actual grades

Log-book

Lecture recordings: youtube lecture recordings: ya-folder

Seminar recordings

Lecture handwritten notes

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