Books by Robert Tibshirani
Introduction to Statistical Learning
Statistical Learning with Sparsity
The Elements of Statistical Learning
The covariance inflation crite
The covariance inflation criterion for adaptive model selection
Bias, variance and prediction
Bias, variance and prediction error for classification rules
Who is the fastest man in the
Who is the fastest man in the world?
"Coaching" variables for regre
"Coaching" variables for regression and classification
A comparison of some error est
A comparison of some error estimates for neural network models
A proposal for variable select
A proposal for variable selection in the Cox model
Slide functions for projection
Slide functions for projection pursuit regression and neural networks
A Strategy for binary classifi
A Strategy for binary classification and description
Principal curves revisited
Principal curves revisited
Smoothing methods for the stud
Smoothing methods for the study of synergism
Non-informative priors for one
Non-informative priors for one parameter of many
Variance stabilization and the
Variance stabilization and the bootstrap
Estimating transformations for
Estimating transformations for regression
Non-resistant parameter
Non-resistant parameter
A note on profile likelihood,
A note on profile likelihood, least favourable families and Kullback-Leibler distance
How many bootstraps?
How many bootstraps?