Bootstrap Methods

Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. The Annals of Statistics, 7(1), 1-26.

Type

Journal article

Intellectual base

Primary research

Year

1979

DOI

10.1214/aos/1176344552

Link

https://doi.org/10.1214/aos/1176344552

Cited from

computer_science, statistics_experimental_design

Cited by

4 citations across 4 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Bayesian Updating

  • This sourceEfron bootstrap computational inference method as nonparametric alternative to parametric Bayesian posteriors.

• Bootstrapping
  • Entrepreneurship and finance: bootstrapped startups growing from revenue rather than external capital, founder savings funding an initial product, and revenue reinvestment compounding growth without dilution. Statistics and machine learning: the nonparametric bootstrap (resampling the sample to estimate variability without a larger study), bagging, and bootstrap confidence intervals and hypothesis tests.

    This sourceIntroduces the nonparametric bootstrap: treat the observed sample as the population and resample from it with replacement to estimate sampling variability without an external replication study — the name-giving self-construction-from-a-seed method.

• Nonparametric Methods
  • The resampling-based variance estimation

    This sourceEfron bootstrap computational inference method as nonparametric alternative to parametric Bayesian posteriors.

• Sampling (Representativeness)

  • This sourceEfron bootstrap computational inference method as nonparametric alternative to parametric Bayesian posteriors.

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