Robert Tibshirani

• The Elements of Statistical Learning
• Introduction to Statistical Learning
• Bias, variance and prediction error for classification rules
• Statistical Learning with Sparsity
• Statistical Learning with Sparsity
• The Elements of Statistical Learning
• The Science of Bradley Efron
• "Coaching" variables for regression and classification
• A comparison of some error estimates for neural network models
• A note on profile likelihood, least favourable families and Kullback-Leibler distance
• A proposal for variable selection in the Cox model
• A Strategy for binary classification and description