Corpus ID: 221135973

A Maximin $\Phi_{p}$-Efficient Design for Multivariate GLM

@article{Li2020AM,
  title={A Maximin \$\Phi_\{p\}\$-Efficient Design for Multivariate GLM},
  author={Yiou Li and Lulu Kang and Xinwei Deng},
  journal={arXiv: Methodology},
  year={2020}
}
Experimental designs for a generalized linear model (GLM) often depend on the specification of the model, including the link function, the predictors, and unknown parameters, such as the regression coefficients. To deal with uncertainties of these model specifications, it is important to construct optimal designs with high efficiency under such uncertainties. Existing methods such as Bayesian experimental designs often use prior distributions of model specifications to incorporate model… Expand
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