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Least angle regression

- B. Efron, T. Hastie, I. Johnstone, R. Tibshirani
- Mathematics
- 1 April 2004

The purpose of model selection algorithms such as All Subsets, Forward Selection and Backward Elimination is to choose a linear model on the basis of the same set of data to which the model will be… Expand

8,121 992- PDF

An Introduction to the Bootstrap

- B. Efron, R. Tibshirani
- Computer Science
- 1993

TLDR

16,433 876

The jackknife, the bootstrap, and other resampling plans

- B. Efron
- Mathematics
- 1987

The Jackknife Estimate of Bias The Jackknife Estimate of Variance Bias of the Jackknife Variance Estimate The Bootstrap The Infinitesimal Jackknife The Delta Method and the Influence Function… Expand

6,493 303

Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy

- B. Efron, R. Tibshirani
- Computer Science
- 1 February 1986

TLDR

5,211 216- PDF

Empirical Bayes Analysis of a Microarray Experiment

- B. Efron, R. Tibshirani, John D. Storey, V. G. Tusher
- Mathematics
- 1 December 2001

Microarrays are a novel technology that facilitates the simultaneous measurement of thousands of gene expression levels. A typical microarray experiment can produce millions of data points, raising… Expand

1,678 195- PDF

An Introduction to the Bootstrap.

- S. T. Buckland, B. Efron, R. Tibshirani
- Mathematics
- 1 September 1994

10,284 193

Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation

- B. Efron
- Mathematics
- 1 June 1983

Abstract We construct a prediction rule on the basis of some data, and then wish to estimate the error rate of this rule in classifying future observations. Cross-validation provides a nearly… Expand

2,226 162

Better Bootstrap Confidence Intervals

- B. Efron
- Mathematics
- 1 March 1987

Abstract We consider the problem of setting approximate confidence intervals for a single parameter θ in a multiparameter family. The standard approximate intervals based on maximum likelihood… Expand

2,742 141

Improvements on Cross-Validation: The 632+ Bootstrap Method

- B. Efron, R. Tibshirani
- Mathematics
- 1 June 1997

Abstract A training set of data has been used to construct a rule for predicting future responses. What is the error rate of this rule? This is an important question both for comparing models and for… Expand

1,455 129- PDF

On testing the significance of sets of genes

- B. Efron, R. Tibshirani
- Mathematics, Biology
- 22 October 2006

This paper discusses the problem of identifying dieren tially expressed groups of genes from a microarray experiment. The groups of genes are externally dened, for example, sets of gene pathways… Expand

767 115- PDF

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