research
∙
09/04/2023
Robust penalized least squares of depth trimmed residuals regression for high-dimensional data
Challenges with data in the big-data era include (i) the dimension p is ...
share
research
∙
10/12/2022
Asymptotics for the least trimmed squares estimator
Novel properties of the objective function in both empirical and populat...
research
∙
04/01/2022
Asymptotic normality of the least sum of squares of trimmed residuals estimator
To enhance the robustness of the classic least sum of squares (LS) of th...
research
∙
03/19/2022
New algorithms for computing the least trimmed squares estimator
Instead of minimizing the sum of all n squared residuals as the classica...
research
∙
02/21/2022
Least sum of squares of trimmed residuals regression
In the famous least sum of trimmed squares (LTS) of residuals estimator ...
research
∙
05/05/2021
Non-asymptotic analysis and inference for an outlyingness induced winsorized mean
Robust estimation of a mean vector, a topic regarded as obsolete in the ...
research
∙
09/01/2020
Finite sample breakdown point of multivariate regression depth median
Depth induced multivariate medians (multi-dimensional maximum depth esti...
research
∙
05/04/2020
Exact computation of projection regression depth and fast computation of its induced median and other estimators
Zuo (2019) (Z19) addressed the computation of the projection regression ...
research
∙
06/25/2019
Regression medians and uniqueness
Notions of depth in regression have been introduced and studied in the l...
research
∙
05/28/2019
Computation of projection regression depth and its induced median
Notions of depth in regression have been introduced and studied in the l...
research
∙
09/26/2018
Asymptotics for the maximum regression depth estimator
Notions of depth in regression have been introduced and studied in the l...
research
∙
06/24/2018
Robustness of deepest projection regression functional
Depth notions in regression have been systematically proposed and examin...
research
∙
05/05/2018