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1

The elements of statistical learning: data mining, inference and prediction

Trevor Hastie, Robert Tibshirani, Jerome Friedman, James Franklin

Journal:

The Mathematical Intelligencer

Year:

2005

Language:

english

File:

PDF, 385 KB

english, 2005

2

Regularization and Variable Selection via the Elastic Net

Hui Zou and Trevor Hastie

Journal:

Journal of the Royal Statistical Society: Series B (Statistical Methodology)

Year:

2005

Language:

english

File:

PDF, 1.97 MB

english, 2005

3

[Springer Texts in Statistics] An Introduction to Statistical Learning Volume 103 ||

James, Gareth, Witten, Daniela, Hastie, Trevor, Tibshirani, Robert

Year:

2013

Language:

english

File:

PDF, 9.83 MB

english, 2013

4

[Springer Series in Statistics] The Elements of Statistical Learning ||

Hastie, Trevor, Tibshirani, Robert, Friedman, Jerome

Year:

2009

Language:

english

File:

PDF, 27.59 MB

english, 2009

5

Least Angle Regression

Bradley Efron, Trevor Hastie, Iain Johnstone and Robert Tibshirani

Journal:

The Annals of Statistics

Year:

2004

Language:

english

File:

PDF, 937 KB

english, 2004

6

[Springer Series in Statistics] The Elements of Statistical Learning || Linear Methods for Regression

Hastie, Trevor, Tibshirani, Robert, Friedman, Jerome

Year:

2009

Language:

english

File:

PDF, 977 KB

english, 2009

7

Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)

Friedman, Jerome, Hastie, Trevor, Tibshirani, Robert

Journal:

The Annals of Statistics

Year:

2000

Language:

english

File:

PDF, 728 KB

english, 2000

8

A statistical explanation of MaxEnt for ecologists

Jane Elith, Steven J. Phillips, Trevor Hastie, Miroslav Dudík, Yung En Chee, Colin J. Yates

Journal:

Diversity and Distributions

Year:

2011

Language:

english

File:

PDF, 1.25 MB

english, 2011

9

[Springer Texts in Statistics] An Introduction to Statistical Learning Volume 103 || Linear Model Selection and Regularization

James, Gareth, Witten, Daniela, Hastie, Trevor, Tibshirani, Robert

Year:

2013

Language:

english

File:

PDF, 1.67 MB

english, 2013

10

Generalized linear and generalized additive models in studies of species distributions: setting the scene

Antoine Guisan, Thomas C Edwards Jr, Trevor Hastie

Journal:

Ecological Modelling

Year:

2002

Language:

english

File:

PDF, 159 KB

english, 2002

11

[Springer Series in Statistics] The Elements of Statistical Learning || Ensemble Learning

Hastie, Trevor, Tibshirani, Robert, Friedman, Jerome

Year:

2009

Language:

english

File:

PDF, 885 KB

english, 2009

12

Generalized Additive Models

Trevor Hastie and Robert Tibshirani

Journal:

Statistical Science

Year:

1986

Language:

english

File:

PDF, 1.78 MB

english, 1986

13

Regularization and variable selection via the elastic net

Hui Zou, Trevor Hastie

Journal:

Journal of the Royal Statistical Society: Series B (Statistical Methodology)

Year:

2005

Language:

english

File:

PDF, 318 KB

english, 2005

14

Discriminant Analysis by Gaussian Mixtures

Trevor Hastie and Robert Tibshirani

Journal:

Journal of the Royal Statistical Society Series B (Methodological)

Year:

1996

Language:

english

File:

PDF, 2.12 MB

english, 1996

15

[Springer Series in Statistics] The Elements of Statistical Learning || Unsupervised Learning

Hastie, Trevor, Tibshirani, Robert, Friedman, Jerome

Year:

2009

Language:

english

File:

PDF, 2.28 MB

english, 2009

16

Sparse Principal Component Analysis

Zou, Hui, Hastie, Trevor, Tibshirani, Robert

Journal:

Journal of Computational and Graphical Statistics

Year:

2006

Language:

english

File:

PDF, 322 KB

english, 2006

17

[Springer Series in Statistics] The Elements of Statistical Learning || Neural Networks

Hastie, Trevor, Tibshirani, Robert, Friedman, Jerome

Year:

2009

Language:

english

File:

PDF, 791 KB

english, 2009

18

[Springer Series in Statistics] The Elements of Statistical Learning || Boosting and Additive Trees

Hastie, Trevor, Tibshirani, Robert, Friedman, Jerome

Year:

2009

Language:

english

File:

PDF, 3.80 MB

english, 2009

19

[Springer Texts in Statistics] An Introduction to Statistical Learning Volume 103 || Moving Beyond Linearity

James, Gareth, Witten, Daniela, Hastie, Trevor, Tibshirani, Robert

Year:

2013

Language:

english

File:

PDF, 1.13 MB

english, 2013

20

[Springer Texts in Statistics] An Introduction to Statistical Learning Volume 103 || Classification

James, Gareth, Witten, Daniela, Hastie, Trevor, Tibshirani, Robert

Year:

2013

Language:

english

File:

PDF, 1.30 MB

english, 2013

21

[Springer Texts in Statistics] An Introduction to Statistical Learning Volume 103 || Linear Regression

James, Gareth, Witten, Daniela, Hastie, Trevor, Tibshirani, Robert

Year:

2013

Language:

english

File:

PDF, 1.74 MB

english, 2013

22

Varying-Coefficient Models

Trevor Hastie and Robert Tibshirani

Journal:

Journal of the Royal Statistical Society Series B (Methodological)

Year:

1993

Language:

english

File:

PDF, 3.44 MB

english, 1993

23

Least angle regression

Tibshirani, Robert, Johnstone, Iain, Hastie, Trevor, Efron, Bradley

Journal:

The Annals of Statistics

Year:

2004

Language:

english

File:

PDF, 839 KB

english, 2004

24

Estimating the Number of Clusters in a Data Set via the Gap Statistic

Robert Tibshirani, Guenther Walther and Trevor Hastie

Journal:

Journal of the Royal Statistical Society: Series B (Statistical Methodology)

Year:

2001

Language:

english

File:

PDF, 991 KB

english, 2001

25

[Springer Series in Statistics] The Elements of Statistical Learning Volume 751 || Basis Expansions and Regularization

Hastie, Trevor, Tibshirani, Robert, Friedman, Jerome

Year:

2009

Language:

english

File:

PDF, 1.62 MB

english, 2009

26

[Springer Series in Statistics] The Elements of Statistical Learning || Linear Methods for Classification

Year:

2009

Language:

english

File:

PDF, 1.06 MB

english, 2009

27

[Springer Texts in Statistics] An Introduction to Statistical Learning Volume 103 || Statistical Learning

James, Gareth, Witten, Daniela, Hastie, Trevor, Tibshirani, Robert

Year:

2013

Language:

english

File:

PDF, 1.11 MB

english, 2013

28

[Springer Texts in Statistics] An Introduction to Statistical Learning Volume 103 || Introduction

James, Gareth, Witten, Daniela, Hastie, Trevor, Tibshirani, Robert

Year:

2013

Language:

english

File:

PDF, 382 KB

english, 2013

29

[Springer Texts in Statistics] An Introduction to Statistical Learning Volume 103 || Tree-Based Methods

James, Gareth, Witten, Daniela, Hastie, Trevor, Tibshirani, Robert

Year:

2013

Language:

english

File:

PDF, 711 KB

english, 2013

30

Special Invited Paper. Additive Logistic Regression: A Statistical View of Boosting

Jerome Friedman, Trevor Hastie and Robert Tibshirani

Journal:

The Annals of Statistics

Year:

2000

Language:

english

File:

PDF, 2.95 MB

english, 2000

31

[Springer Series in Statistics] The Elements of Statistical Learning ||

Hastie, Trevor, Friedman, Jerome, Tibshirani, Robert

Year:

2001

Language:

english

File:

PDF, 56.46 MB

english, 2001

32

Human amygdala engagement moderated by early life stress exposure is a biobehavioral target for predicting recovery on antidepressants

Goldstein-Piekarski, Andrea N., Korgaonkar, Mayuresh S., Green, Erin, Suppes, Trisha, Schatzberg, Alan F., Hastie, Trevor, Nemeroff, Charles B., Williams, Leanne M.

Journal:

Proceedings of the National Academy of Sciences

Year:

2016

Language:

english

File:

PDF, 708 KB

english, 2016

33

Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate and Energy Expenditure in a Diverse Cohort

Shcherbina, Anna, Mattsson, C., Waggott, Daryl, Salisbury, Heidi, Christle, Jeffrey, Hastie, Trevor, Wheeler, Matthew, Ashley, Euan

Journal:

Journal of Personalized Medicine

Year:

2017

Language:

english

File:

PDF, 1.07 MB

english, 2017

34

Causal Interpretations of Black-Box Models

Zhao, Qingyuan, Hastie, Trevor

Journal:

Journal of Business and Economic Statistics

Year:

2019

Language:

english

File:

PDF, 944 KB

english, 2019

35

Estimating the number of clusters in a data set via the gap statistic

Robert Tibshirani, Guenther Walther, Trevor Hastie

Journal:

Journal of the Royal Statistical Society: Series B (Statistical Methodology)

Year:

2001

Language:

english

File:

PDF, 281 KB

english, 2001

36

Making better biogeographical predictions of species’ distributions

ANTOINE GUISAN, ANTHONY LEHMANN, SIMON FERRIER, MIKE AUSTIN, JACOB MC. C. OVERTON, RICHARD ASPINALL, TREVOR HASTIE

Journal:

Journal of Applied Ecology

Year:

2006

Language:

english

File:

PDF, 94 KB

english, 2006

37

The Geometric Interpretation of Correspondence Analysis

Michael Greenacre and Trevor Hastie

Journal:

Journal of the American Statistical Association

Year:

1987

Language:

english

File:

PDF, 1.66 MB

english, 1987

38

[Springer Texts in Statistics] An Introduction to Statistical Learning Volume 103 || Resampling Methods

James, Gareth, Witten, Daniela, Hastie, Trevor, Tibshirani, Robert

Year:

2013

Language:

english

File:

PDF, 659 KB

english, 2013

39

Principal Component Models for Sparse Functional Data

Gareth M. James, Trevor J. Hastie and Catherine A. Sugar

Journal:

Year:

2000

Language:

english

File:

PDF, 1.27 MB

english, 2000

40

Pathwise coordinate optimization

Friedman, Jerome, Hastie, Trevor, Höfling, Holger, Tibshirani, Robert

Journal:

The Annals of Applied Statistics

Year:

2007

Language:

english

File:

PDF, 1.98 MB

english, 2007

41

Non-Parametric Logistic and Proportional Odds Regression

Trevor Hastie and Robert Tibshirani

Journal:

Journal of the Royal Statistical Society: Series C (Applied Statistics)

Year:

1987

Language:

english

File:

PDF, 1.30 MB

english, 1987

42

Computer Age Statistical Inference (Algorithms, Evidence, and Data Science) || Bayesian Inference

Efron, Bradley, Hastie, Trevor

Year:

2016

Language:

english

File:

PDF, 246 KB

english, 2016

43

Dynamic visualization of statistical learning in the context of high-dimensional textual data

Michael Greenacre, Trevor Hastie

Journal:

Web Semantics: Science, Services and Agents on the World Wide Web

Year:

2010

Language:

english

File:

PDF, 561 KB

english, 2010

44

L1-regularization path algorithm for generalized linear models

Mee Young Park, Trevor Hastie

Journal:

Journal of the Royal Statistical Society: Series B (Statistical Methodology)

Year:

2007

Language:

english

File:

PDF, 1.41 MB

english, 2007

45

Prediction by Supervised Principal Components

Bair, Eric, Hastie, Trevor, Paul, Debashis, Tibshirani, Robert

Journal:

Journal of the American Statistical Association

Year:

2006

Language:

english

File:

PDF, 7.33 MB

english, 2006

46

Strong rules for discarding predictors in lasso-type problems

Robert Tibshirani, Jacob Bien, Jerome Friedman, Trevor Hastie, Noah Simon, Jonathan Taylor, Ryan J. Tibshirani

Journal:

Journal of the Royal Statistical Society: Series B (Statistical Methodology)

Year:

2012

Language:

english

File:

PDF, 616 KB

english, 2012

47

Inference from presence-only data; the ongoing controversy

Hastie, Trevor, Fithian, Will

Journal:

Year:

2013

Language:

english

File:

PDF, 545 KB

english, 2013

48

[Springer Texts in Statistics] An Introduction to Statistical Learning Volume 103 || Support Vector Machines

James, Gareth, Witten, Daniela, Hastie, Trevor, Tibshirani, Robert

Year:

2013

Language:

english

File:

PDF, 924 KB

english, 2013

49

[Springer Texts in Statistics] An Introduction to Statistical Learning Volume 103 || Unsupervised Learning

James, Gareth, Witten, Daniela, Hastie, Trevor, Tibshirani, Robert

Year:

2013

Language:

english

File:

PDF, 1001 KB

english, 2013

50

'Gene shaving' as a method for identifying distinct sets of genes with similar expression patterns

Trevor Hastie, Robert Tibshirani, Michael B Eisen, Ash Alizadeh…

Journal:

Year:

2000

Language:

english

File:

PDF, 4.66 MB

english, 2000