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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
An Introduction to the Bootstrap
- B. Efron, R. Tibshirani
- Computer Science
- 1993
TLDR
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
Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy
- B. Efron, R. Tibshirani
- Computer Science
- 1 February 1986
TLDR
An Introduction to the Bootstrap.
- S. T. Buckland, B. Efron, R. Tibshirani
- Mathematics
- 1 September 1994
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
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
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
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
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
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