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Publications Influence

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

8,027 980- PDF

An Introduction to the Bootstrap

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

TLDR

16,515 883

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

6,451 300

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

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

TLDR

5,154 211- PDF

An Introduction to the Bootstrap.

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

10,312 195

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

2,212 164

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

2,714 142

Bootstrap Methods: Another Look at the Jackknife

- B. Efron
- Mathematics
- 1979

We discuss the following problem given a random sample X = (X 1, X 2,…, X n) from an unknown probability distribution F, estimate the sampling distribution of some prespecified random variable R(X,… Expand

6,957 110- PDF

An introduction to the bootstrap

- B. Efron, R. Tibshirani
- Sociology, Mathematics
- 1993

Statistics is the science of learning from experience, especially experience that arrives a little bit at a time. The earliest information
science was statistics, originating in about 1650. This… Expand

5,678 87

Bootstrap confidence intervals

- T. DiCiccio, B. Efron
- Mathematics
- 1 September 1996

This article surveys bootstrap methods for producing good approximate confidence intervals. The goal is to improve by an order of magnitude upon the accuracy of the standard intervals 0 ? z(a), in a… Expand

1,465 76- PDF

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