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Publications Influence

Regularization Paths for Generalized Linear Models via Coordinate Descent.

- J. Friedman, T. Hastie, R. Tibshirani
- Computer Science, Medicine
- Journal of statistical software
- 2 February 2010

TLDR

8,764 691- PDF

Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent.

- Noah Simon, J. Friedman, T. Hastie, R. Tibshirani
- Computer Science, Medicine
- Journal of statistical software
- 9 March 2011

TLDR

762 42- PDF

Extracting binary signals from microarray time-course data

- D. Sahoo, D. Dill, R. Tibshirani, Sylvia K. Plevritis
- Medicine, Biology
- Nucleic acids research
- 21 May 2007

This article presents a new method for analyzing microarray time courses by identifying genes that undergo abrupt transitions in expression level, and the time at which the transitions occur. The… Expand

100 10

Regularization Paths for Conditional Logistic Regression: The clogitL1 Package.

- S. Reid, R. Tibshirani
- Mathematics, Medicine
- Journal of statistical software
- 14 May 2014

We apply the cyclic coordinate descent algorithm of Friedman, Hastie, and Tibshirani (2010) to the fitting of a conditional logistic regression model with lasso [Formula: see text] and elastic net… Expand

60 3- PDF

�-norm Support Vector Machines

- J. Zhu, S. Rosset, T. Hastie, R. Tibshirani
- 2003

The standard -norm SVM is known for its goodperformancein twoclassclassification. In this paper , we considerthe -norm SVM. We arguethatthe -normSVM mayhavesomeadvantageover thestandard -norm SVM,… Expand

32 3

Results from the second year of a collaborative effort to forecast influenza seasons in the United States.

- M. Biggerstaff, M. Johansson, +15 authors C. Reed
- Medicine
- Epidemics
- 24 February 2018

Accurate forecasts could enable more informed public health decisions. Since 2013, CDC has worked with external researchers to improve influenza forecasts by coordinating seasonal challenges for the… Expand

55 1

Regularization methods for learning incomplete matrices

- R. Mazumder, T. Hastie, R. Tibshirani
- Mathematics
- 11 June 2009

AbstractWe use convex relaxation techniques to provide a sequence of solutions to the matrix completionproblem. Using the nuclear norm as a regularizer, we provide simple and very eﬃcient algorithms… Expand

7 1- PDF

A pliable lasso for the Cox model

- W. Du, R. Tibshirani
- Mathematics
- 18 July 2018

We introduce a pliable lasso method for estimation of interaction effects in the Cox proportional hazards model framework. The pliable lasso is a linear model that includes interactions between… Expand

4 1- PDF

Discriminant Analysis with Adaptively Pooled Covariance

- Noah Simon, R. Tibshirani
- Mathematics
- 7 November 2011

Linear and Quadratic Discriminant analysis (LDA/QDA) are common tools for classification problems. For these methods we assume observations are normally distributed within group. We estimate a mean… Expand

7- PDF

Modeling COVID19 mortality in the US: Community context and mobility matter

- S. McGough, R. Gan, R. Tibshirani, A. Meyer
- Geography, Medicine
- medRxiv
- 20 June 2020

The United States has become an epicenter for the coronavirus disease 2019 (COVID-19) pandemic. However, communities have been unequally affected and evidence is growing that social determinants of… Expand

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