3 citations · 3 across the 1 of their papers we have counts for
2 papers
math.ST2016
Kernel ridge vs. principal component regression: minimax bounds and adaptability of regularization operators
Lee H. Dicker, Dean P. Foster, Daniel Hsu
Regularization is an essential element of virtually all kernel methods for nonparametric regression problems. A critical factor in the effectiveness of a given kernel method is the…
stat.ME2012★ 3 cited
Residual variance and the signal-to-noise ratio in high-dimensional linear models
Lee H. Dicker
Residual variance and the signal-to-noise ratio are important quantities in many statistical models and model fitting procedures. They play an important role in regression diagnost…