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Journal of the American Statistical Association Volume 109, 2014 - Issue 506
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Theory and Methods

A Generic Path Algorithm for Regularized Statistical Estimation

Hua Zhou
&
Yichao Wu
Pages 686-699 | Received 01 Aug 2011, Published online: 13 Jun 2014

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Michael Weylandt, John Nagorski & Genevera I. Allen. (2020) Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization. Journal of Computational and Graphical Statistics 29:1, pages 87-96.
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Brian R. Gaines, Juhyun Kim & Hua Zhou. (2018) Algorithms for Fitting the Constrained Lasso. Journal of Computational and Graphical Statistics 27:4, pages 861-871.
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Ning Hao, Yang Feng & Hao Helen Zhang. (2018) Model Selection for High-Dimensional Quadratic Regression via Regularization. Journal of the American Statistical Association 113:522, pages 615-625.
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Yunzhang Zhu. (2017) An Augmented ADMM Algorithm With Application to the Generalized Lasso Problem. Journal of Computational and Graphical Statistics 26:1, pages 195-204.
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Articles from other publishers (11)

Hao H. Zhang. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online 1 19 .
Jong-June Jeon, Yongdai Kim, Sungho Won & Hosik Choi. (2020) Primal path algorithm for compositional data analysis. Computational Statistics & Data Analysis 148, pages 106958.
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Yuqing Pan & Qing Mai. (2020) Efficient computation for differential network analysis with applications to quadratic discriminant analysis. Computational Statistics & Data Analysis 144, pages 106884.
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Salar Fattahi & Somayeh Sojoudi. (2018) Closed-Form Solution and Sparsity Path for Inverse Covariance Estimation Problem. Closed-Form Solution and Sparsity Path for Inverse Covariance Estimation Problem.
Zhenqiu Liu, Fengzhu Sun & Dermot P. McGovern. (2017) Sparse generalized linear model with L 0 approximation for feature selection and prediction with big omics data. BioData Mining 10:1.
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Jinho Park. (2017) Solution path for quantile regression with epsilon-insensitive loss in a reproducing kernel Hilbert space. Statistics & Probability Letters 126, pages 205-211.
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Chun Yip Yau & Tsz Shing Hui. (2016) LARS-type algorithm for group lasso. Statistics and Computing 27:4, pages 1041-1048.
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Salar Fattahi & Javad Lavaei. (2017) On the convexity of optimal decentralized control problem and sparsity path. On the convexity of optimal decentralized control problem and sparsity path.
Luigi Augugliaro, Angelo M. Mineo & Ernst C. Wit. (2016) A differential-geometric approach to generalized linear models with grouped predictors. Biometrika 103:3, pages 563-577.
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Zhenqiu Liu & Gang Li. (2016) Efficient Regularized Regression with Penalty for Variable Selection and Network Construction . Computational and Mathematical Methods in Medicine 2016, pages 1-11.
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Hua Zhou & Kenneth Lange. (2015) Path following in the exact penalty method of convex programming. Computational Optimization and Applications 61:3, pages 609-634.
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