8 citations · 10 across the 3 of their papers we have counts for
4 papers
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…
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…
Fast Penalized Regression and Cross Validation for Tall Data with the oem Package
Jared D. Huling, Peter Z. G. Qian
A large body of research has focused on theory and computation for variable selection techniques for high dimensional data. There has been substantially less work in the big tall d…
Minimax Optimal Rates of Estimation in Functional ANOVA Models with Derivatives
Xiaowu Dai, Peter Chien
We establish minimax optimal rates of convergence for nonparametric estimation in functional ANOVA models when data from first-order partial derivatives are available. Our results…