H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Mathematics H-index 82 Citations 152,883 159 World Ranking 55 National Ranking 34

Research.com Recognitions

Awards & Achievements

2019 - International Prize in Statistics For the bootstrap

2016 - BBVA Foundation Frontiers of Knowledge Award

2005 - US President's National Medal of Science "For his contributions to theoretical and applied statistics, especially the bootstrap sampling technique; for his extraordinary geometric insight into nonlinear statistical problems; and for applications in medicine, physics, and astronomy.", Awarded by President George W. Bush in a White House ceremony on July 27, 2007.

1990 - Samuel S. Wilks Memorial Award, American Statistical Association (ASA)

1986 - Member of the National Academy of Sciences

1983 - Fellow of the American Academy of Arts and Sciences

1983 - Fellow of the MacArthur Foundation

1981 - Wald Memorial Lecturer

1970 - Fellow of the American Statistical Association (ASA)

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Normal distribution
  • Internal medicine

Bradley Efron mainly investigates Statistics, Econometrics, Nonparametric statistics, Jackknife resampling and Confidence interval. His study on Statistics is mostly dedicated to connecting different topics, such as Word error rate. His Jackknife resampling study combines topics in areas such as Resampling, Delta method, Random variable and Combinatorics.

His Combinatorics research focuses on subjects like Sampling distribution, which are linked to Bootstrap aggregating. His studies in Confidence interval integrate themes in fields like Calibration and Statistical hypothesis testing. The various areas that Bradley Efron examines in his Inference study include Bootstrap confidence interval, Simar and Sampling theory.

His most cited work include:

  • An introduction to the bootstrap (35495 citations)
  • Bootstrap Methods: Another Look at the Jackknife (12691 citations)
  • Least angle regression (6995 citations)

What are the main themes of his work throughout his whole career to date?

Bradley Efron mainly focuses on Statistics, Econometrics, Bayes' theorem, Frequentist inference and Statistical hypothesis testing. Confidence interval, Estimator, Nonparametric statistics, Standard error and Jackknife resampling are the subjects of his Statistics studies. His work in Econometrics is not limited to one particular discipline; it also encompasses Regression analysis.

Bradley Efron usually deals with Bayes' theorem and limits it to topics linked to Exponential family and Likelihood function. The Frequentist inference study combines topics in areas such as Statistical inference, Inference and Data science. His study in Inference is interdisciplinary in nature, drawing from both Data mining and False discovery rate.

He most often published in these fields:

  • Statistics (37.01%)
  • Econometrics (18.15%)
  • Bayes' theorem (17.79%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (9.96%)
  • Statistics (37.01%)
  • Bayes' theorem (17.79%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Artificial intelligence, Statistics, Bayes' theorem, Inference and Machine learning. He integrates Statistics and R package in his research. His Bayes' theorem research integrates issues from Exponential family, Applied mathematics, Class and Stability.

His Inference research is multidisciplinary, incorporating perspectives in Deconvolution, Measure, Frequentist inference and Maximum likelihood, Likelihood function. His work in Frequentist inference covers topics such as Statistical inference which are related to areas like Econometrics. His work on Model selection, Boosting and Feature vector as part of general Machine learning study is frequently linked to Oracle, bridging the gap between disciplines.

Between 2015 and 2021, his most popular works were:

  • Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (151 citations)
  • Effect of Perioperative Gabapentin on Postoperative Pain Resolution and Opioid Cessation in a Mixed Surgical Cohort: A Randomized Clinical Trial. (82 citations)
  • Empirical Bayes deconvolution estimates (53 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Normal distribution
  • Internal medicine

His primary areas of investigation include Bayes' theorem, Inference, Estimation, Random forest and Econometrics. Bradley Efron has researched Bayes' theorem in several fields, including Measure, Class, Stability and Frequentist inference. His Frequentist inference research includes themes of Relevance and Bayes analysis.

His Inference research incorporates themes from Markov chain Monte Carlo, Sufficient statistic, Curvature, Applied mathematics and Machine learning. His Estimation research spans across into subjects like Attribution and Black box. His Bayesian probability research is multidisciplinary, incorporating elements of Algorithm, Statistical inference, Data science and Big data.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

An introduction to the bootstrap

Bradley Efron;Robert J. Tibshirani.
(1993)

45136 Citations

Bootstrap Methods: Another Look at the Jackknife

Bradley Efron.
Annals of Statistics (1979)

19528 Citations

The jackknife, the bootstrap, and other resampling plans

Bradley Efron.
(1987)

10698 Citations

Least angle regression

Bradley Efron;Trevor Hastie;Iain Johnstone;Robert Tibshirani.
Annals of Statistics (2004)

9815 Citations

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

Bradley Efron;Robert Tibshirani.
Statistical Science (1986)

6511 Citations

The Jackknife: The Bootstrap and Other Resampling Plans.

Leone Y. Low;Bradley Efron.
Journal of the American Statistical Association (1983)

4673 Citations

A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation

Bradley Efron;Gail Gong.
The American Statistician (1983)

3995 Citations

An Introduction to the Bootstrap.

S. T. Buckland;B. Efron;R. J. Tibshirani.
Biometrics (1994)

3742 Citations

Better Bootstrap Confidence Intervals

Bradley Efron.
Journal of the American Statistical Association (1987)

3620 Citations

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

Bradley Efron.
Journal of the American Statistical Association (1983)

2772 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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