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Journal of Computational and Graphical Statistics Volume 27, 2018 - Issue 2
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Models

Gradient-based Regularization Parameter Selection for Problems With Nonsmooth Penalty Functions

Jean FengDepartment of Biostatistics, University of Washington, Seattle, WAView further author information
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Noah SimonDepartment of Biostatistics, University of Washington, Seattle, WAView further author information
Pages 426-435 | Received 01 Jun 2016, Published online: 20 Jun 2018

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Abolfazl Safikhani & Ali Shojaie. (2022) Joint Structural Break Detection and Parameter Estimation in High-Dimensional Nonstationary VAR Models. Journal of the American Statistical Association 117:537, pages 251-264.
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Wessel N. van Wieringen. (2019) The Generalized Ridge Estimator of the Inverse Covariance Matrix. Journal of Computational and Graphical Statistics 28:4, pages 932-942.
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Juan C. Laria, M. Carmen Aguilera-Morillo & Rosa E. Lillo. (2019) An Iterative Sparse-Group Lasso. Journal of Computational and Graphical Statistics 28:3, pages 722-731.
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Articles from other publishers (7)

Bin Lu, Fuwang Wang, Shiwei Wang, Junxiang Chen, Guilin Wen & Rongrong Fu. (2024) Improvement of motor imagery electroencephalogram decoding by iterative weighted Sparse-Group Lasso. Expert Systems with Applications 238, pages 122286.
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Jean Feng & Noah Simon. (2022) Ensembled sparse‐input hierarchical networks for high‐dimensional datasets. Statistical Analysis and Data Mining: The ASA Data Science Journal 15:6, pages 736-750.
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Wessel N. Wieringen & Yao Chen. (2021) Penalized estimation of the Gaussian graphical model from data with replicates. Statistics in Medicine 40:19, pages 4279-4293.
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Changwon Lee. (2020) A study on path loss prediction based on Tikhonov regularization using gradient adaptive step‐size in mountain areas. Microwave and Optical Technology Letters 62:7, pages 2531-2536.
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Yunjie Yang, Hancong Wu, Jiabin Jia & Pierre-Olivier Bagnaninchi. (2019) Scaffold-Based 3-D Cell Culture Imaging Using a Miniature Electrical Impedance Tomography Sensor. IEEE Sensors Journal 19:20, pages 9071-9080.
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Ashley Petersen & Daniela Witten. (2018) Data‐adaptive additive modeling. Statistics in Medicine 38:4, pages 583-600.
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Kristof Lommers, Ouns El Harzli & Jack Kim. (2021) Confronting Machine Learning with Financial Research. SSRN Electronic Journal.
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