Statistics4MR-2022-23 — различия между версиями

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(не показаны 3 промежуточные версии 2 участников)
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== Log-book ==
 
== Log-book ==
  
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[https://www.youtube.com/playlist?list=PLGpdGKp2JUvz4rUd_bvyBBmxArWJX0w6R Lecture recordings]
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[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]
  
 
[https://github.com/xenakas/stat4mr_2022/tree/main/lecture_notes Lecture handwritten notes]
 
[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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Sample size calculation exercises, MDE
 
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

Plan

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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

Actual grades

Log-book

Lecture recordings: youtube

lecture recordings: ya-folder

Seminar recordings

Lecture handwritten notes

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

Источник — «http://wiki.cs.hse.ru/index.php?title=Statistics4MR-2022-23&oldid=74359»