Dehan Kong

Works (4)

Updated: April 25th, 2025 18:48

2024 journal article

Functional principal component analysis with informative observation times

Biometrika, 112(1).

By: P. Sang *, D. Kong* & S. Yang n 

author keywords: Functional data analysis; Informative sampling; Missing at random
topics (OpenAlex): Advanced Statistical Methods and Models; Statistical Methods and Inference; Statistical and numerical algorithms
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Sources: Web Of Science, NC State University Libraries, ORCID, Crossref
Added: February 10, 2025

2017 article

Fully efficient robust estimation, outlier detection, and variable selection via penalized regression

Bondell, H., Kong, D., & Wu, Y. (2017, April 18). Statistica Sinica.

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

author keywords: Adaptive; breakdown point; least trimmed squares; outliers; penalized regression; robust regression; variable selection
topics (OpenAlex): Advanced Statistical Methods and Models; Advanced Statistical Process Monitoring; Statistical Methods and Inference
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)
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Source: Web Of Science
Added: December 3, 2018

2017 article

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. (2017, November 2). Rejoinder to “A Note on Testing and Estimation in Marker-set Association Study Using Semiparametric Quantile Regression Kernel Machine.” Biometrics, Vol. 74, pp. 767–768.

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
topics (OpenAlex): Statistical Methods and Inference; Genetic and phenotypic traits in livestock; Advanced Statistical Methods and Models
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: October 16, 2018

2014 article

Domain selection for the varying coefficient model via local polynomial regression

Kong, D., Bondell, H. D., & Wu, Y. (2014, October 18). Computational Statistics & Data Analysis.

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

author keywords: Bandwidth selection; Oracle properties; Penalized local polynomial fitting; SCAD
topics (OpenAlex): Statistical Methods and Inference; Liver Disease Diagnosis and Treatment; Control Systems and Identification
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)
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Source: Web Of Science
Added: August 6, 2018

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