Li-Pang Chen

17 papers Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Inverse probability weighting estimation under ultrahigh-dimensional error-prone covariates and misclassified treatments.
Stat. Comput.
Li-Pang Chen
2025 J jnl
Nonparametric profile monitoring with error-prone auxiliary variables.
Comput. Ind. Eng.
Li-Pang Chen, Wei-Heng Huang
2024 J jnl
<tt>GUEST</tt>: an R package for handling estimation of graphical structure and multiclassification for error-prone gene expression data.
Bioinform.
Li-Pang Chen, Hui-Shan Tsao
2024 J jnl
AFFECT: an R package for accelerated functional failure time model with error-contaminated survival times and applications to gene expression data.
BMC Bioinform.
Li-Pang Chen, Hsiao-Ting Huang
2024 J jnl
Accelerated failure time models with error-prone response and nonlinear covariates.
Stat. Comput.
Li-Pang Chen
2024 J jnl
SIMEXBoost: An R package for Analysis of High-Dimensional Error-Prone Data Based on Boosting Method.
R J.
Li-Pang Chen, Bangxu Qiu
2024 J jnl
Variable Selection and Estimation for Misclassified Binary Responses and Multivariate Error-Prone Predictors.
J. Comput. Graph. Stat.
Li-Pang Chen
2023 J jnl
A new
Qual. Reliab. Eng. Int.
Li-Pang Chen, Su-Fen Yang
2023 J jnl
De-noising boosting methods for variable selection and estimation subject to error-prone variables.
Stat. Comput.
Li-Pang Chen
2022 J jnl
Network-Based Discriminant Analysis for Multiclassification.
J. Classif.
Li-Pang Chen
2022 J jnl
The ESD Control Program Handbook: by Jeremy M. Smallwood. Wiley-IEEE Press, 538 pp., USD $140.00 (hbk). ISBN 9781118311035 2020.
Technometrics
Li-Pang Chen
2021 J jnl
Feature screening based on distance correlation for ultrahigh-dimensional censored data with covariate measurement error.
Comput. Stat.
Li-Pang Chen
2021 J jnl
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python.
Technometrics
Li-Pang Chen
2021 J jnl
Text mining and sentiment analysis of COVID-19 tweets.
CoRR
Qihuang Zhang, Grace Y. Yi, Li-Pang Chen, Wenqing He
2020 J jnl
Causal inference for left-truncated and right-censored data with covariate measurement error.
Comput. Appl. Math.
Li-Pang Chen
2019 J jnl
Investigating effects of bandwidth selection in local polynomial regression model with applications.
Model. Assist. Stat. Appl.
Li-Pang Chen
2019 — conf
Support Vector Machine with Graphical Network Structures in Features.
MLDM (2)
Wenqing He, Grace Y. Yi, Li-Pang Chen