Functionally induced priors for componentwise Gibbs sampler in the analysis of supersaturated designs

DOI10.1016/j.csda.2013.10.022zbMath1506.62083OpenAlexW2006292152MaRDI QIDQ1623379

Jinyu Yang, Min-Qian Liu, Hengzhen Huang

Publication date: 23 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2013.10.022

zbMATH Keywords

Bayesian variable selectionmixed-levelmain effecteffect sparsityorthogonal contrast coding

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Factorial statistical designs (62K15)

Related Items

Variable selection in saturated and supersaturated designs via lp-lq minimization ⋮ Acceleration of the stochastic search variable selection via componentwise Gibbs sampling ⋮ A method for augmenting supersaturated designs

Uses Software

• DACE

Cites Work

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