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 | | Generalized Additive Models by T.J. Hastie 352 Pages, Published 2017 by Routledge ISBN-13: 978-1-351-44596-2, ISBN: 1-351-44596-0 |
 | | Statistical Models in S by T.J. Hastie 624 Pages, Published 2017 by Routledge ISBN-13: 978-1-351-41422-7, ISBN: 1-351-41422-4 |
 | | The Elements of Statistical Learning(2nd Edition) Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) by Trevor Hastie, Robert Tibshirani, Jerome Friedman Hardcover, 745 Pages, Published 2016 by Springer ISBN-13: 978-0-387-84857-0, ISBN: 0-387-84857-6 |
 | | An Introduction to Statistical Learning(1st Edition) with Applications in R (Springer Texts in Statistics) by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani Hardcover, 426 Pages, Published 2013 by Springer ISBN-13: 978-1-4614-7137-0, ISBN: 1-4614-7137-0 |
 | | Chapman and Hall/CRC Monographs on Statistics and Applied Probability Statistical Learning with Sparsity : The Lasso and Generalizations by Trevor Hastie, Robert Tibshirani, Martin Wainwright Digital, 367 Pages, Published 2015 by Chapman & Hall/Crc ISBN-13: 978-1-4987-1217-0, ISBN: 1-4987-1217-7 |
 | | Computer Age Statistical Inference(1st Edition) Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs) by Bradley Efron, Trevor Hastie Hardcover, 476 Pages, Published 2016 by Cambridge University Press ISBN-13: 978-1-107-14989-2, ISBN: 1-107-14989-4 |
 | | Springer Texts in Statistics Ser. An Introduction to Statistical Learning : With Applications in R by Gareth James, Trevor Hastie, Robert Tibshirani, Daniela Witten 426 Pages, Published 2013 by Springer Science & Business Media ISBN-13: 978-1-4614-7138-7, ISBN: 1-4614-7138-9 |
 | | Springer Series in Statistics Ser. The Elements of Statistical Learning : Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani, Jerome Friedman 536 Pages, Published 2013 by Springer Science & Business Media ISBN-13: 978-0-387-21606-5, ISBN: 0-387-21606-5 |
Hastie
