Search Results - "LASSO"

Book

edited by Bergquist, Peter ¬[Hrsg.]

1999

“...Orlando di Lasso was probably the most famous and most popular composer of the second half of the 1500s. This book of essays written by leading scholars from...”

Holdings Uni Bonn

Journal Article

A Sparse-Group Lasso

by Simon, Noah Friedman, Jerome Hastie, Trevor Tibshirani, Robert Published in Journal of computational and graphical statistics (01.04.2013)

“...For high-dimensional supervised learning problems, often using problem-specific assumptions can lead to greater accuracy. For problems with grouped covariates,...”

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eBook

Statistical Learning with Sparsity: The Lasso and Generalizations

by Hastie, Trevor Tibshirani, Robert Wainwright, Martin
2015

“...Discover New Methods for Dealing with High-Dimensional DataA sparse statistical model has only a small number of nonzero parameters or weights; therefore, it...”

Journal Article

Learning Interactions via Hierarchical Group-Lasso Regularization

by Lim, Michael Hastie, Trevor Published in Journal of computational and graphical statistics (03.07.2015)

“...We introduce a method for learning pairwise interactions in a linear regression or logistic regression model in a manner that satisfies strong hierarchy:...”

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Journal Article

Wavelet-Based Weighted LASSO and Screening Approaches in Functional Linear Regression

by Zhao, Yihong Chen, Huaihou Ogden, R. Todd Published in Journal of computational and graphical statistics (03.07.2015)

“...One useful approach for fitting linear models with scalar outcomes and functional predictors involves transforming the functional data to wavelet domain and...”

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Journal Article

A Path Algorithm for the Fused Lasso Signal Approximator

by Hoefling, Holger Published in Journal of computational and graphical statistics (01.01.2010)

“...The Lasso is a very well-known penalized regression model, which adds an L 1 penalty with parameter λ 1 on the coefficients to the squared error loss function...”

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Journal Article

An Iterative Coordinate Descent Algorithm for High-Dimensional Nonconvex Penalized Quantile Regression

by Peng, Bo Wang, Lan Published in Journal of computational and graphical statistics (03.07.2015)

“...We propose and study a new iterative coordinate descent algorithm (QICD) for solving nonconvex penalized quantile regression in high dimension. By permitting...”

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Journal Article

ConvexLAR: An Extension of Least Angle Regression

by Xiao, Wei Wu, Yichao Zhou, Hua Published in Journal of computational and graphical statistics (03.07.2015)

“...The least angle regression (LAR) was proposed by Efron, Hastie, Johnstone and Tibshirani in the year 2004 for continuous model selection in linear regression...”

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Journal Article

Automatic Feature Selection via Weighted Kernels and Regularization

by Allen, Genevera I Published in Journal of computational and graphical statistics (01.04.2013)

“...Selecting important features in nonlinear kernel spaces is a difficult challenge in both classification and regression problems. This article proposes to...”

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Journal Article

A Path Algorithm for Constrained Estimation

by Zhou, Hua Lange, Kenneth Published in Journal of computational and graphical statistics (01.04.2013)

“...Many least-square problems involve affine equality and inequality constraints. Although there are a variety of methods for solving such problems, most...”

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