6 citations · 6 across the 3 of their papers we have counts for
3 papers
math.ST2023
High-dimensional outlier detection and variable selection via adaptive weighted mean regression
Jiaqi Li, Linglong Kong, Bei Jiang +1
This paper proposes an adaptive penalized weighted mean regression for outlier detection of high-dimensional data. In comparison to existing approaches based on the mean shift mode…
math.OC2021
Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability
Yafei Wang, Bo Pan, Wei Tu +6
Sample average approximation (SAA), a popular method for tractably solving stochastic optimization problems, enjoys strong asymptotic performance guarantees in settings with indepe…
math.ST2017★ 6 cited
An Alternative Approach to Functional Linear Partial Quantile Regression
Dengdeng Yu, Matthew Pietrosanu, Ivan Mizera +3
Functional data such as curves and surfaces have become more and more common with modern technological advancements. The use of functional predictors remains challenging due to its…