Robert Tibshirani

Identifiers

Open LibraryOL5087590A

Top Subjects

Estimation theory (6)
Regression analysis (5)
Bootstrap (Statistics) (4)
Nonparametric statistics (3)
Error analysis (Mathematics) (2)
Exponential families (Statistics) (1)
Robust statistics (1)

Books by Robert Tibshirani

Total count: 21

How many bootstraps?

University of Toronto1985-01-01
A note on profile likelihood, least favourable families and Kullback-Leibler distance

University of Toronto, Dept. of Statistics1985-01-01
Non-resistant parameter

University of Toronto, Dept. of Statistics1986-01-01
Estimating transformations for regression

University of Toronto. Dept. of Statistics1986-01-01
Variance stabilization and the bootstrap

University of Toronto, Dept. of Statistics1987-01-01
Non-informative priors for one parameter of many

University of Toronto, Dept. of Statistics1987-01-01
Smoothing methods for the study of synergism

University of Toronto, Dept. of Statistics1989-01-01
A Strategy for binary classification and description

University of Toronto, Dept. of Statistics1991-01-01
Principal curves revisited

University of Toronto, Dept. of Statistics1991-01-01
Slide functions for projection pursuit regression and neural networks

University of Toronto, Department of Statistics1992-01-01
A comparison of some error estimates for neural network models

University of Toronto, Dept. of Statistics1994-01-01
A proposal for variable selection in the Cox model

University of Toronto, Dept. of Statistics1994-01-01
"Coaching" variables for regression and classification

University of Toronto, Dept. of Statistics.1994-01-01
Bias, variance and prediction error for classification rules

University of Toronto, Dept. of Statistics1996-01-01
Who is the fastest man in the world?

University of Toronto1996-01-01
The covariance inflation criterion for adaptive model selection

University of Toronto, Dept. of Statistics1997-01-01
The Elements of Statistical LearningData Mining, Inference, and Prediction, Second Edition

Springer2008-11-01
The Science of Bradley EfronSelected Papers

Springer2010-11-19
Statistical Learning with SparsityThe Lasso and Generalizations

Taylor & Francis Group2015-01-01
Introduction to Statistical LearningWith Applications in R

Springer2021-01-01
An Introduction to Statistical Learningwith Applications in R

Springer2021-01-01