Assignment	Topic	Keys	Problems
Assignment 1	Classical problems	1.2: Model selection using marginal regression	January 24
Assignment 2	Large scale testing	PDF	February 7
Assignment 3	Ridge regression	1.8: Existence theorem	February 16
		1.10: Leave-one-out cross-validation for linear fitting
		1.11: WHO pneumonia modeling
Assignment 4	Lasso	2.6: Programming the coordinate descent algorithm	March 2
		2.7: Degrees of freedom for the lasso (orthonormal case)
		2.8: WHO study of acute respiratory illness, revisited
		2.9: Simulation comparing ridge regression, forward selection, and the lasso
Assignment 5	Bias reduction	3.1: Two-stage adaptive lasso	March 21
		3.3: Degrees of freedom for MCP (orthonormal case)
		3.7: Simulation comparing ridge regression, forward selection, the lasso, MCP, and SCAD
		3.9: Exponential penalty
		3.11: Analysis of the carbotax data using MCP
Assignment 6	Stability	4.2: Grouping property for the elastic net	March 28
		4.5: Analysis of Bardet-Biedl Syndrome data
Assignment 7	Theory and inference	5.1: Gaussian tail bound	April 20
		5.3: Prediction bound under RE condition
		6.1: Conditional distribution for random knockoffs
		6.2: Selective inference in the p=2 case
		6.3: HIV drug resistance study
Assignment 8	Other likelihoods	10.2: Quadratic approximation to loss functions	May 2
		10.3: Standardization for multiclass logistic regression
		10.4: Classification of leukemia subtypes