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A Criterion for Constructing Powerful Supersaturated Designs When Effect Directions Are Known
Weese, Maria L., Edwards, David J., Smucker, Byran J.
Published in Journal of quality technology (01.07.2017)
Published in Journal of quality technology (01.07.2017)
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Screening active factors in supersaturated designs
Das, Ujjwal, Gupta, Sudhir, Gupta, Shuva
Published in Computational statistics & data analysis (01.09.2014)
Published in Computational statistics & data analysis (01.09.2014)
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Projection Design for Statistical Compressive Sensing: A Tight Frame Based Approach
Wei Chen, Rodrigues, M. R. D., Wassell, I. J.
Published in IEEE transactions on signal processing (01.04.2013)
Published in IEEE transactions on signal processing (01.04.2013)
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Sure independence screening for analyzing supersaturated designs
Drosou, K., Koukouvinos, C.
Published in Communications in statistics. Simulation and computation (09.08.2019)
Published in Communications in statistics. Simulation and computation (09.08.2019)
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Forward Variable Selection for Sparse Ultra-High Dimensional Varying Coefficient Models
Cheng, Ming-Yen, Honda, Toshio, Zhang, Jin-Ting
Published in Journal of the American Statistical Association (01.09.2016)
Published in Journal of the American Statistical Association (01.09.2016)
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A Model Selection Approach for Variable Selection with Censored Data
Castellanos, María Eugenia, García-Donato, Gonzalo, Cabras, Stefano
Published in Bayesian analysis (01.03.2021)
Published in Bayesian analysis (01.03.2021)
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