Robert Tibshirani

· 20 obras en el catálogo

Obras

BBias, variance and prediction error for classification rules

Bias, variance and prediction error for classification rules

""Coaching" variables for regression and classification

"Coaching" variables for regression and classification

AA comparison of some error estimates for neural network mode

A comparison of some error estimates for neural network models

TThe covariance inflation criterion for adaptive model select

The covariance inflation criterion for adaptive model selection

HHow many bootstraps?

How many bootstraps?

NNon-informative priors for one parameter of many

Non-informative priors for one parameter of many

NNon-resistant parameter

Non-resistant parameter

AA note on profile likelihood, least favourable families and

A note on profile likelihood, least favourable families and Kullback-Leibler distance

PPrincipal curves revisited

Principal curves revisited

AA proposal for variable selection in the Cox model

A proposal for variable selection in the Cox model

SSlide functions for projection pursuit regression and neural

Slide functions for projection pursuit regression and neural networks

SSmoothing methods for the study of synergism

Smoothing methods for the study of synergism

AA Strategy for binary classification and description

A Strategy for binary classification and description

VVariance stabilization and the bootstrap

Variance stabilization and the bootstrap

WWho is the fastest man in the world?

Who is the fastest man in the world?

EEstimating transformations for regression

Estimating transformations for regression

Statistical Learning with Sparsity

The Science of Bradley Efron

Introduction to Statistical Learning

The Elements of Statistical Learning