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stat.ME2021
Efficient Experimental Design for Regularized Linear Models
C. Devon Lin, Peter Chien, Xinwei Deng
Regularized linear models, such as Lasso, have attracted great attention in statistical learning and data science. However, there is sporadic work on constructing efficient data co…
stat.ME2018
Another Look at Statistical Calibration: A Non-Asymptotic Theory and Prediction-Oriented Optimality
Xiaowu Dai, Peter Chien
We provide another look at the statistical calibration problem in computer models. This viewpoint is inspired by two overarching practical considerations of computer models: (i) ma…