Tibshirani, R.: search on Z-Library

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1

Regression Shrinkage and Selection via the Lasso

Robert Tibshirani

Journal:

Journal of the Royal Statistical Society Series B (Methodological)

Year:

1996

Language:

english

File:

PDF, 1.83 MB

english, 1996

2

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

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

Regression shrinkage and selection via the lasso: a retrospective

Robert Tibshirani

Journal:

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

Year:

2011

Language:

english

File:

PDF, 626 KB

english, 2011

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 ||

Hastie, Trevor, Tibshirani, Robert, Friedman, Jerome

Year:

2009

Language:

english

File:

PDF, 27.59 MB

english, 2009

7

[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

8

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

9

Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy

B. Efron and R. Tibshirani

Journal:

Statistical Science

Year:

1986

Language:

english

File:

PDF, 3.12 MB

english, 1986

10

[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

11

Sparse inverse covariance estimation with the graphical lasso

Friedman, J., Hastie, T., Tibshirani, R.

Journal:

Year:

2008

Language:

english

File:

PDF, 175 KB

english, 2008

12

Regression Shrinkage and Selection Via the Lasso

Tibshirani, Robert

Journal:

Journal of the Royal Statistical Society Series B (Methodological)

Year:

1996

Language:

english

File:

PDF, 1.24 MB

english, 1996

13

Generalized Additive Models

Trevor Hastie and Robert Tibshirani

Journal:

Statistical Science

Year:

1986

Language:

english

File:

PDF, 1.78 MB

english, 1986

14

[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

15

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

16

An Introduction to the Bootstrap.; Computer-Intensive Statistical Methods: Validation Model Selection and Bookstrap.;

Simonoff, Jeffrey S., Efron, Bradley, Tibshirani, Robert J., Hjorth, J. S. Urban

Journal:

Journal of the American Statistical Association

Year:

1994

Language:

english

File:

PDF, 638 KB

english, 1994

17

Generalized random forests

Athey, Susan, Tibshirani, Julie, Wager, Stefan

Journal:

The Annals of Statistics

Year:

2019

File:

PDF, 460 KB

2019

18

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

19

[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

20

[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

21

[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

22

[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

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 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

26

[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

27

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

28

Distribution-Free Predictive Inference For Regression

Lei, Jing, G'Sell, Max, Rinaldo, Alessandro, Tibshirani, Ryan J., Wasserman, Larry

Journal:

Journal of the American Statistical Association

Year:

2017

Language:

english

File:

PDF, 8.68 MB

english, 2017

29

Generalized additive models for medical research

Hastie, T., Tibshirani, R.

Journal:

Statistical Methods in Medical Research

Year:

1995

Language:

english

File:

PDF, 619 KB

english, 1995

30

[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

31

[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

32

[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

33

[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

34

THE LASSO METHOD FOR VARIABLE SELECTION IN THE COX MODEL

ROBERT TIBSHIRANI

Journal:

Statistics in Medicine

Year:

1997

Language:

english

File:

PDF, 380 KB

english, 1997

35

[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

36

Sparsity and smoothness via the fused lasso

Robert Tibshirani, Michael Saunders, Saharon Rosset, Ji Zhu, Keith Knight

Journal:

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

Year:

2005

Language:

english

File:

PDF, 297 KB

english, 2005

37

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

38

Sequential selection procedures and false discovery rate control

G'Sell, Max Grazier, Wager, Stefan, Chouldechova, Alexandra, Tibshirani, Robert

Journal:

Journal of the Royal Statistical Society Series B (Methodological)

Year:

2016

Language:

english

File:

PDF, 6.05 MB

english, 2016

39

Exact post-selection inference for the generalized lasso path

Hyun, Sangwon, G’Sell, Max, Tibshirani, Ryan J.

Journal:

Electronic Journal of Statistics

Year:

2018

Language:

english

File:

PDF, 1.57 MB

english, 2018

40

The lasso problem and uniqueness

Tibshirani, Ryan J.

Journal:

Electronic Journal of Statistics

Year:

2013

Language:

english

File:

PDF, 413 KB

english, 2013

41

Improvements on Cross-Validation: The .632+ Bootstrap Method

Bradley Efron and Robert Tibshirani

Journal:

Journal of the American Statistical Association

Year:

1997

Language:

english

File:

PDF, 1.85 MB

english, 1997

42

Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy

Efron, B., Tibshirani, R.

Journal:

Statistical Science

Year:

1986

File:

PDF, 3.52 MB

1986

43

Exact Post-Selection Inference for Sequential Regression Procedures

Tibshirani, Ryan J., Taylor, Jonathan, Lockhart, Richard, Tibshirani, Robert

Journal:

Journal of the American Statistical Association

Year:

2016

Language:

english

File:

PDF, 1.27 MB

english, 2016

44

Combining Estimates in Regression and Classification

Leblanc, Michael, Tibshirani, Robert

Journal:

Journal of the American Statistical Association

Year:

1996

Language:

english

File:

PDF, 1.49 MB

english, 1996

45

Penalized classification using Fisher's linear discriminant

Daniela M. Witten, Robert Tibshirani

Journal:

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

Year:

2011

Language:

english

File:

PDF, 754 KB

english, 2011

46

Sparsity and Smoothness via the Fused Lasso

Robert Tibshirani, Michael Saunders, Saharon Rosset, Ji Zhu and Keith Knight

Journal:

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

Year:

2005

Language:

english

File:

PDF, 1.65 MB

english, 2005

47

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

48

[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

49

Noninformative Priors for One Parameter of Many

Robert Tibshirani

Journal:

Year:

1989

Language:

english

File:

PDF, 583 KB

english, 1989

50

From Fixed-X to Random-X Regression: Bias-Variance Decompositions, Covariance Penalties, and Prediction Error Estimation: Rejoinder

Rosset, Saharon, Tibshirani, Ryan J.

Journal:

Journal of the American Statistical Association

Year:

2020

File:

PDF, 593 KB

2020

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