Functionally induced priors for componentwise Gibbs sampler in the analysis of supersaturated designs
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DOI: 10.1016/j.csda.2013.10.022
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References listed on IDEAS
- Kai-Tai Fang & Dennis K. J. Lin & Min-Qian Liu, 2003. "Optimal mixed-level supersaturated design," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 58(3), pages 279-291, December.
- Yan Liu & Min-Qian Liu, 2012. "Construction of equidistant and weak equidistant supersaturated designs," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 75(1), pages 33-53, January.
- Li, Peng & Zhao, Shengli & Zhang, Runchu, 2010. "A cluster analysis selection strategy for supersaturated designs," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1605-1612, June.
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Cited by:
- Hengzhen Huang & Shuangshuang Zhou & Min-Qian Liu & Zong-Feng Qi, 2017. "Acceleration of the stochastic search variable selection via componentwise Gibbs sampling," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 80(3), pages 289-308, April.
- Chun-Wei Zheng & Zong-Feng Qi & Qiao-Zhen Zhang & Min-Qian Liu, 2022. "A Method for Augmenting Supersaturated Designs with Newly Added Factors," Mathematics, MDPI, vol. 11(1), pages 1-17, December.
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Keywords
Bayesian variable selection; Effect sparsity; Main effect; Mixed-level; Orthogonal contrast coding;All these keywords.
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