Assignment	Topic	Problems	Titles
Assignment 1	Classical problems	1.2: Model selection using marginal regression	February 1
Assignment 2	Large scale testing	PDF	February 15
Assignment 3	Ridge regression	1.8: Existence theorem	February 24
		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 10
		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 17
		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
		3.10: Analysis of the carbotax data using MCP
Assignment 6	Stability	4.2: Grouping property for the elastic net	March 24
		4.5: Analysis of Bardet-Biedl Syndrome data
Assignment 7	Theory and inference	5.1: Gaussian tail bound	April 15
		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	10.1: Logistic regression: Score and Hessian	April 28
		10.2: Quadratic approximation to loss functions
		10.3: Classification of leukemia subtypes
Assignment 9	Structured sparsity	13.1: Simulation comparing lasso and group lasso	May 13
		16.1: Group normalization and SPAM
		18.1: Spam detection