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Week 11
Supplemental notes
A Crash Course in Good and Bad Controls
Bias-Variance Trade offs
Collinearity
Log transformations
MLR matrix notation
Model diagnostics
Model selection criteria
Omitted Variable Bias
PCA KPCA and ICA
PCA and component selection
QR decomposition
SLR derivations
Sample exam questions
Splines
Standardized Mean Differences (SMD)
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Week 1