95 citations · 124 across the 5 of their papers we have counts for
5 papers
Unified Distributed Estimation Framework for Sufficient Dimension Reduction Based on Conditional Moments
Hongying Li, Minyi Zhu, Yaqi Cao +1
Nowadays, massive datasets are typically dispersed across multiple locations, encountering dual challenges of high dimensionality and huge sample size. Therefore, it is necessary t…
Discussion of "Robust Distance Covariance" by S. Leyder, J. Raymaekers, and P.J. Rousseeuw
Hallin Marc, Davide La Vecchia, Hang Liu +1
Distance covariance and distance correlation have long been regarded as natural measures of dependence between two random vectors, and have been used in a variety of situations for…
From Minimax Shrinkage Estimation to Minimax Shrinkage Prediction
Edward I. George, Feng Liang, Xinyi Xu
In a remarkable series of papers beginning in 1956, Charles Stein set the stage for the future development of minimax shrinkage estimators of a multivariate normal mean under quadr…
Asymptotic minimax risk of predictive density estimation for non-parametric regression
Xinyi Xu, Feng Liang
We consider the problem of estimating the predictive density of future observations from a non-parametric regression model. The density estimators are evaluated under Kullback--Lei…
Improved minimax predictive densities under Kullback--Leibler loss
Edward I. George, Feng Liang, Xinyi Xu
Let and be independent p-dimensional multivariate normal vectors with common unknown mean . Based on only observing , we consi…