5 citations · 10 across the 6 of their papers we have counts for
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stat.ME2020★ 1 cited
A Maximin -Efficient Design for Multivariate GLM
Yiou Li, Lulu Kang, Xinwei Deng
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…
stat.ME2020★ 5 cited
Covariate Balancing Based on Kernel Density Estimates for Controlled Experiments
Yiou Li, Lulu Kang, Xiao Huang
Controlled experiments are widely used in many applications to investigate the causal relationship between input factors and experimental outcomes. A completely randomized design i…
stat.CO2020★ 3 cited
Is a Transformed Low Discrepancy Design Also Low Discrepancy?
Yiou Li, Lulu Kang, Fred J. Hickernell
Experimental designs intended to match arbitrary target distributions are typically constructed via a variable transformation of a uniform experimental design. The inverse distribu…