Dehan Kong

Works (3)

Updated: July 12th, 2023 21:15

2017 journal article

FULLY EFFICIENT ROBUST ESTIMATION, OUTLIER DETECTION AND VARIABLE SELECTION VIA PENALIZED REGRESSION

STATISTICA SINICA, 28(2), 1031–1052.

By: D. Kong*, H. Bondell* & Y. Wu*

author keywords: Adaptive; breakdown point; least trimmed squares; outliers; penalized regression; robust regression; variable selection
TL;DR: An e-cient algorithm is proposed to solve this jointly penalized optimization problem and use the extended Bayesian information criteria tuning method to select the regularization parameters, since the number of parameters exceeds the sample size. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: December 3, 2018

2017 personal communication

Rejoinder to "A note on testing and estimation in marker-set association study using semiparametric quantile regression kernel machine"

Kong, D., Maity, A., Hsu, F.-C., & Tzeng, J.-Y. (2018, June).

By: D. Kong*, A. Maity n , F. Hsu * & J. Tzeng n

Contributors: D. Kong*, A. Maity n , F. Hsu * & J. Tzeng n

MeSH headings : Biomarkers; Models, Genetic; Models, Statistical
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID, NC State University Libraries
Added: October 16, 2018

2014 journal article

Domain selection for the varying coefficient model via local polynomial regression

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 83, 236–250.

By: D. Kong n, H. Bondell n & Y. Wu n

author keywords: Bandwidth selection; Oracle properties; Penalized local polynomial fitting; SCAD
TL;DR: The estimators enjoy the oracle properties in the sense that they have the same bias and asymptotic variance as the local polynomial estimators as if the sparsity is known as a priori. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

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