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Trevor Hastie

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The Elements of Statistical Learning: Data Mining, Inference, and Prediction

by Trevor Hastie, Robert Tibshirani, and Jerome Friedman First published in 2001 — 7 editions

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Introduction to Statistical Learning: With Applications in R

by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani First published in 2021 — 4 editions

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Statistical Learning with Sparsity: The Lasso and Generalizations

by Trevor Hastie, Robert Tibshirani, and Martin Wainwright First published in 2015 — 4 editions

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Generalized additive models

by Trevor Hastie First published in 1985 — 4 editions

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Computer Age Statistical Inference: Algorithms, Evidence, and Data Science

by Bradley Efron and Trevor Hastie First published in 2016 — 3 editions

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Computer Age Statistical Inference, Student Edition: Algorithms, Evidence, and Data Science

by Bradley Efron and Trevor Hastie First published in 2021 — 2 editions

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Statistical models in S

by Trevor Hastie First published in 1993 — 2 editions

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Statistical models in S

by Trevor Hastie First published in 1992 — 1 edition

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Computer-aided diagnosis of mammographic masses

by Trevor Hastie First published in 1996 — 1 edition

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Handwritten digit recognition via deformable prototypes

by Trevor Hastie First published in 1992 — 1 edition

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Generalized additive models, cubic splines and personalized likelihood

by Trevor Hastie First published in 1987 — 1 edition

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Classification by pairwise coupling

by Trevor Hastie First published in 1996 — 1 edition

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Penalized discriminant analysis

by Trevor Hastie First published in 1992 — 1 edition

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Varying-coefficient models

by Trevor Hastie First published in 1991 — 1 edition

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Exploring the nature of covariate effects in the proportional hazards model

by Trevor Hastie First published in 1988 — 1 edition

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Flexible discriminant analysis: adaptive classification

by Trevor Hastie First published in 1992 — 1 edition

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OLID: OL780977A

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