cmenet: A New Method for Bi-Level Variable Selection of Conditional Main Effects
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Publication:5231511
DOI10.1080/01621459.2018.1448828zbMath1420.62339arXiv1701.05547OpenAlexW2962877733MaRDI QIDQ5231511
Publication date: 27 August 2019
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1701.05547
Software, source code, etc. for problems pertaining to statistics (62-04) Factorial statistical designs (62K15)
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Bayesian-inspired minimum contamination designs under a double-pair conditional effect model, Scalable Algorithms for the Sparse Ridge Regression, An evaluation of estimation capacity under the conditional main effect parameterization
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Cites Work
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