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Why isn't everyone a Bayesian?

Efron, Bradley - In: The American statistician : a publication of the … 40 (1986) 1, pp. 1-5

Persistent link: https://www.econbiz.de/10001017908

Bayesians, frequentists, and scientists

Efron, Bradley - In: Journal of the American Statistical Association : JASA 100 (2005) 469, pp. 1-5

Persistent link: https://www.econbiz.de/10002701997

Large-scale simultaneous hypothesis testing : the choice of a null hypothesis

Efron, Bradley - In: Journal of the American Statistical Association : JASA 99 (2004) 465, pp. 96-104

Persistent link: https://www.econbiz.de/10002029507

The estimation of prediction error : covariance penalties and cross-validation

Efron, Bradley - In: Journal of the American Statistical Association : JASA 99 (2004) 467, pp. 619-642

Persistent link: https://www.econbiz.de/10002241636

Efron, Bradley - In: Journal of the American Statistical Association : JASA 105 (2010) 491, pp. 1042-1055

Persistent link: https://www.econbiz.de/10008737991

Correlation and large-scale simultaneous significance testing

Efron, Bradley - In: Journal of the American Statistical Association : JASA 102 (2007) 477, pp. 93-103

Persistent link: https://www.econbiz.de/10003430765

Comments on "bootstrapping time series models"

Efron, Bradley - In: Econometric reviews 15 (1996) 2, pp. 159-164

Persistent link: https://www.econbiz.de/10001198924

An introduction to the bootstrap

Efron, Bradley; Tibshirani, Robert - 1993

Persistent link: https://www.econbiz.de/10009700930

Computer age statistical inference : algorithms, evidence, and data science

Efron, Bradley; Hastie, Trevor - 2016

Persistent link: https://www.econbiz.de/10011530189

Pre-validation and inference in microarrays

Tibshirani, Robert; Efron, Brad - In: Statistical Applications in Genetics and Molecular Biology 1 (2007) 1, pp. 1-1

In microarray studies, an important problem is to compare a predictor of disease outcome derived from gene expression levels to standard clinical predictors. Comparing them on the same dataset that was used to derive the microarray predictor can lead to results strongly biased in favor of the...

Persistent link: https://www.econbiz.de/10005246478