Support Vector Machine with Graphical Network Structures in Features. - Wenqing He; Grace Y. Yi; Li-Pang Chen (MLDM (2), 2019)

Investigating effects of bandwidth selection in local polynomial regression model with applications. - Li-Pang Chen (Model. Assist. Stat. Appl., 2019)

Causal inference for left-truncated and right-censored data with covariate measurement error. - Li-Pang Chen (Comput. Appl. Math., 2020)

Text mining and sentiment analysis of COVID-19 tweets. - Qihuang Zhang; Grace Y. Yi; Li-Pang Chen; Wenqing He (CoRR, 2021)

Feature screening based on distance correlation for ultrahigh-dimensional censored data with covariate measurement error. - Li-Pang Chen (Comput. Stat., 2021)

Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python. - Li-Pang Chen (Technometrics, 2021)

Network-Based Discriminant Analysis for Multiclassification. - Li-Pang Chen (J. Classif., 2022)

The ESD Control Program Handbook: by Jeremy M. Smallwood. Wiley-IEEE Press, 538 pp., USD $140.00 (hbk). ISBN 9781118311035 2020. - Li-Pang Chen (Technometrics, 2022)

A new p-control chart with measurement error correction. - Li-Pang Chen; Su-Fen Yang (Qual. Reliab. Eng. Int., 2023)

De-noising boosting methods for variable selection and estimation subject to error-prone variables. - Li-Pang Chen (Stat. Comput., 2023)

Variable Selection and Estimation for Misclassified Binary Responses and Multivariate Error-Prone Predictors. - Li-Pang Chen (J. Comput. Graph. Stat., 2024)

SIMEXBoost: An R package for Analysis of High-Dimensional Error-Prone Data Based on Boosting Method. - Li-Pang Chen; Bangxu Qiu (R J., 2024)

AFFECT: an R package for accelerated functional failure time model with error-contaminated survival times and applications to gene expression data. - Li-Pang Chen; Hsiao-Ting Huang (BMC Bioinform., 2024)

Accelerated failure time models with error-prone response and nonlinear covariates. - Li-Pang Chen (Stat. Comput., 2024)