T
Trevor Hastie
Researcher at Stanford University
Publications - 428
Citations - 230646
Trevor Hastie is an academic researcher from Stanford University. The author has contributed to research in topics: Lasso (statistics) & Feature selection. The author has an hindex of 124, co-authored 412 publications receiving 202592 citations. Previous affiliations of Trevor Hastie include University of Waterloo & University of Toronto.
Papers
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Journal ArticleDOI
Addendum: Regularization and variable selection via the elastic net
Hui Zou,Trevor Hastie +1 more
TL;DR: The piecewise linearity of the lasso solution path was first proved by Osborne et al. (2000), who also described an efficient algorithm for calculating the complete lasso solutions path.
Book
Principal component models for sparse functional data
TL;DR: In this article, a reduced rank mixed effects framework is proposed to handle the more difficult case where curves are often measured at an irregular and sparse set of time points which can differ widely across individuals.
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Class Prediction by Nearest Shrunken Centroids, with Applications to DNA Microarrays
TL;DR: This work proposes a new method for class prediction in DNA microarray studies based on an enhancement of the nearest prototype classifier that uses "shrunken" centroids as prototypes for each class to identify the subsets of the genes that best characterize each class.
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Local Regression: Automatic Kernel Carpentry
Trevor Hastie,Clive Loader +1 more
TL;DR: Local regression smoothers as discussed by the authors fit lower-order polynomials locally at each point, and the estimate of $f(x_0)$ is taken from the fitted polynomial at the point of interest.
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The Geometric Interpretation of Correspondence Analysis
Michael Greenacre,Trevor Hastie +1 more
TL;DR: Correspondence analysis is an exploratory multivariate technique that converts a data matrix into a particular type of graphical display in which the rows and columns are depicted as points as discussed by the authors, and has appeared in different forms in the psychometric and ecological literature, among others.