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1. Bayes, Oracle Bayes, and Empirical Bayes [2017]
 Efron, Bradley, author.
 Stanford, California : Department of Statistics, Stanford University, November 2017.
 Description
 Book — 32 pages ; 28 cm.
Special Collections
Special Collections  Status 

University Archives  
260530  Unavailable In process 
 Efron, Bradley, author.
 New York, NY : Cambridge University Press, 2016.
 Description
 Book — xix, 475 pages : color illustrations ; 24 cm.
 Summary

 Part I. Classic Statistical Inference:
 1. Algorithms and inference
 2. Frequentist inference
 3. Bayesian inference
 4. Fisherian inference and maximum likelihood estimation
 5. Parametric models and exponential families Part II. Early ComputerAge Methods:
 6. Empirical Bayes
 7. JamesStein estimation and ridge regression
 8. Generalized linear models and regression trees
 9. Survival analysis and the EM algorithm
 10. The jackknife and the bootstrap
 11. Bootstrap confidence intervals
 12. Crossvalidation and Cp estimates of prediction error
 13. Objective Bayes inference and Markov chain Monte Carlo
 14. Statistical inference and methodology in the postwar era Part III. TwentyFirst Century Topics:
 15. Largescale hypothesis testing and false discovery rates
 16. Sparse modeling and the lasso
 17. Random forests and boosting
 18. Neural networks and deep learning
 19. Supportvector machines and kernel methods
 20. Inference after model selection
 21. Empirical Bayes estimation strategies Epilogue References Index.
 (source: Nielsen Book Data)
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 Online
 Efron, Bradley.
 Cambridge, UK ; New York : Cambridge University Press, 2010.
 Description
 Book — xii, 263 p. : ill. (some col.) ; 24 cm.
 Summary

 Introduction and foreword
 1. Empirical Bayes and the JamesStein estimator
 2. Largescale hypothesis testing
 3. Significance testing algorithms
 4. False discovery rate control
 5. Local false discovery rates
 6. Theoretical, permutation and empirical null distributions
 7. Estimation accuracy
 8. Correlation questions
 9. Sets of cases (enrichment)
 10. Combination, relevance, and comparability
 11. Prediction and effect size estimation A. Exponential families B. Programs and data sets Bibliography Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Stacks  
QA279.5 .E39 2010  Unknown 
 Efron, Bradley.
 New York : Springer, c2008.
 Description
 Book — xxv, 498 p. : ill. ; 27 cm.
 Summary

 Foreword by Bradley Efron.1. From
 1965: The convex hull of a random set of points, Introduced by Tom Cover.
 2. From
 1971: Forcing a sequential experiment to be balanced, Introduced by Herman Chernoff.3. From
 1975: Defining the curvature of a statistical problem (with applications to second order efficiency) Introduced by Rob Kass and Paul Vos.
 4. From
 1975: Data analysis using Stein's estimator and its generalizations (with Carl Morris), Introduced by John Rolph.
 5. From
 1976: Estimating the number of unseen species: How many words did Shakespeare know? (with Ronald Thisted), Introduced by Peter McCullagh.
 6. From
 1977: The efficiency of Cox's likelihood function for censored data, Introduced by John Kalbfleisch.
 7. From
 1977: Stein's paradox in statistics (with Carl Morris), Introduced by Jim Berger.
 8. From
 1978: Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information (with David V. Hinkley), Introduced by Thomas DiCiccio.
 9. From
 1979: Bootstrap methods: Another look at the jackknife, Introduced by David Hinkley .
 10. From
 1981: The jackknife estimate of variance (with Charles Stein), Introduced by Jun Shao and C.F. Jeff Wu.
 11. From
 1982: The Jackknife, the Bootstrap and Other Resampling Plans [excerpt], Introduced by Peter Hall .
 12. From
 1983: Estimating the error rate of a prediction rule: Improvement on crossvalidation, Introduced by Trevor Hastie.
 13. From
 1986: Why isn't everyone a Bayesian?, Introduced by Larry Wasserman.
 14. From
 1987: Better bootstrap confidence intervals, Introduced by Peter Bickel.
 15. From
 1993: An Introduction to the Bootstrap (with Robert Tibshirani) [excerpt], Introduced by Rudy Beran.
 16. From
 1996: Using specially designed exponential families for density estimation (with Robert Tibshirani), Introduced by Nancy Reid.
 17. From
 1996: Bootstrap confidence levels for phylogenetic trees (correction) (with Elizabeth Halloran and Susan Holmes), Introduced by Joe Felsenstein.
 18. From
 1998: R. A. Fisher in the 21st century, Introduced by Stephen Stigler.
 19. From
 2001: Empirical Bayes analysis of a microarray experiment (with Robert Tibshirani, John D. Storey and Virginia Tusher), Introduced by Rafael Irizarry .
 20. From
 2004: Least angle regression (with Trevor Hastie, Iain Johnstone and Robert Tibshirani), Introduced by David Madigan.
 21. From
 2004: Largescale simultaneous hypothesis testing: The choice of a null hypothesis, Introduced by Michael Newton. President's Corner by Bradley Efron (AMSTAT News, April 2004): "But What Do Statisticians Do?".
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Stacks  
QA276.16 .E37 2008  Unknown 
Online 5. Nonparametric methods for doubly truncated data [1998]
 Efron, Bradley author.
 Stanford, California : Stanford University, Division of Biostatistics, January 1998.
 Description
 Book — 1 online resource (30 pages).
 Also online at

6. An introduction to the bootstrap [1993]
 Efron, Bradley.
 New York : Chapman & Hall, c1993.
 Description
 Book — xvi, 436 p. : ill ; 23 cm.
 Summary

 Introduction The Accuracy of a Sample Mean Random Samples and Probabilities The Empirical Distribution Function and the PlugIn Principle Standard Errors and Estimated Standard Errors The Bootstrap Estimate of Standard Error Bootstrap Standard Errors: Some Examples More Complicated Data Structures Regression Models Estimates of Bias The Jackknife Confidence Intervals Based on Bootstrap "Tables" Confidence Intervals Based on Bootstrap Percentiles Better Bootstrap Confidence Intervals Permutation Tests Hypothesis Testing with the Bootstrap CrossValidation and Other Estimates of Prediction Error Adaptive Estimation and Calibration Assessing the Error in Bootstrap Estimates A Geometrical Representation for the Bootstrap and Jackknife An Overview of Nonparametric and Parametric Inference Further Topics in Bootstrap Confidence Intervals Efficient Bootstrap Computations Approximate Likelihoods Bootstrap Bioequivalence Discussion and Further Topics Appendix: Software for Bootstrap Computations References.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
Business Library
Business Library  Status 

Stacks  
QA276.8 .E3745 1993  Unknown 
7. An introduction to the bootstrap [1993]
 Efron, Bradley.
 New York : Chapman & Hall, 1993.
 Description
 Book — xvi, 436 p. : ill. ; 23 cm.
 Summary

 Introduction The Accuracy of a Sample Mean Random Samples and Probabilities The Empirical Distribution Function and the PlugIn Principle Standard Errors and Estimated Standard Errors The Bootstrap Estimate of Standard Error Bootstrap Standard Errors: Some Examples More Complicated Data Structures Regression Models Estimates of Bias The Jackknife Confidence Intervals Based on Bootstrap "Tables" Confidence Intervals Based on Bootstrap Percentiles Better Bootstrap Confidence Intervals Permutation Tests Hypothesis Testing with the Bootstrap CrossValidation and Other Estimates of Prediction Error Adaptive Estimation and Calibration Assessing the Error in Bootstrap Estimates A Geometrical Representation for the Bootstrap and Jackknife An Overview of Nonparametric and Parametric Inference Further Topics in Bootstrap Confidence Intervals Efficient Bootstrap Computations Approximate Likelihoods Bootstrap Bioequivalence Discussion and Further Topics Appendix: Software for Bootstrap Computations References.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
Green Library, Marine Biology Library (Miller), Science Library (Li and Ma)
Green Library  Status 

Find it Velma Denning Room (Social Science Data and Software)  
QA276.8 .E3745 1993  Inlibrary use 
Marine Biology Library (Miller)  Status 

Stacks  
QA276.8 .E3745 1993  Unknown 
QA276.8 .E3745 1993  Unknown 
QA276.8 .E3745 1993  Unknown 
Science Library (Li and Ma)  Status 

Stacks  
QA276.8 .E3745 1993  Unknown 
QA276.8 .E3745 1993  Unknown 
QA276.8 .E3745 1993  Unknown 
 Efron, Bradley.
 Philadelphia, Pa. : Society for Industrial and Applied Mathematics, 1982.
 Description
 Book — vii, 92 p. : ill. ; 25 cm.
 Online
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Stacks  
QA276.8 .E35  Unknown 
QA276.8 .E35  Unknown 
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