# Lasso

## Papers overview

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2016

2016

- Proceedings of the National Academy of Sciencesâ€¦
- 2016

We provide a principled way for investigators to analyze randomized experiments when the number of covariates is largeâ€¦Â (More)

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2015

2015

- Multivariate behavioral research
- 2015

Ordinary least squares and stepwise selection are widespread in behavioral science research; however, these methods are wellâ€¦Â (More)

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2014

Highly Cited

2014

- Annals of statistics
- 2014

In the sparse linear regression setting, we consider testing the significance of the predictor variable that enters the currentâ€¦Â (More)

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2013

Highly Cited

2013

- Annals of statistics
- 2013

We add a set of convex constraints to the lasso to produce sparse interaction models that honor the hierarchy restriction that anâ€¦Â (More)

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2013

2013

- Front. Genet.
- 2013

The number of publications performing genome-wide association studies (GWAS) has increased dramatically. Penalized regressionâ€¦Â (More)

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2012

2012

- Statistica Sinica
- 2012

We re-examine the original Group Lasso paper of Yuan and Lin (2007). The form of penalty in that paper seems to be designed forâ€¦Â (More)

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2012

Highly Cited

2012

- Front. Neurosci.
- 2012

We implemented least absolute shrinkage and selection operator (LASSO) regression to evaluate gene effects in genome-wideâ€¦Â (More)

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2010

2010

- 2010

In this note, we propose the use of sparse methods (e.g. LASSO, Post-LASSO, âˆš LASSO, and Postâˆš LASSO) to form first-stageâ€¦Â (More)

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2010

Highly Cited

2010

- Journal of computational and graphical statisticsâ€¦
- 2010

We propose a procedure for constructing a sparse estimator of a multivariate regression coefficient matrix that accounts forâ€¦Â (More)

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2007

2007

- BMC proceedings
- 2007

The Genetic Analysis Workshop 15 Problem 3 simulated rheumatoid arthritis data set provided 100 replicates of simulated singleâ€¦Â (More)

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