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Robert Tibshirani
Researcher at Stanford University
Publications - 620
Citations - 359457
Robert Tibshirani is an academic researcher from Stanford University. The author has contributed to research in topics: Lasso (statistics) & Gene expression profiling. The author has an hindex of 147, co-authored 593 publications receiving 326580 citations. Previous affiliations of Robert Tibshirani include University of Toronto & University of California.
Papers
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An Introduction to the Bootstrap.
Bradley Efron,Robert Tibshirani +1 more
TL;DR: In this article, the authors present a geometric representation for the Bootstrap and the Jackknife, as well as an overview of nonparametric and Parametric Inference methods for estimating the error in Bootstrap estimates.
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Discriminant adaptive nearest neighbor classification
Trevor Hastie,Robert Tibshirani +1 more
TL;DR: A locally adaptive form of nearest neighbor classification is proposed to try to finesse this curse of dimensionality, and a method for global dimension reduction is proposed, that combines local dimension information.
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On the “degrees of freedom” of the lasso
TL;DR: The number of nonzero coefficients is an unbiased estimate for the degrees of freedom of the lasso—a conclusion that requires no special assumption on the predictors and the unbiased estimator is shown to be asymptotically consistent.
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Prediction of survival in diffuse large-B-cell lymphoma based on the expression of six genes.
Izidore S. Lossos,Debra K. Czerwinski,Ash A. Alizadeh,Mark A. Wechser,Robert Tibshirani,David Botstein,Ronald Levy +6 more
TL;DR: Measurement of the expression of six genes is sufficient to predict overall survival in diffuse large-B-cell lymphoma.
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Penalized Discriminant Analysis
TL;DR: A penalized version of Fisher's linear discriminant analysis is described, designed for situations in which there are many highly correlated predictors, such as those obtained by discretizing a function, or the grey-scale values of the pixels in a series of images.