On rates of convergence of general information criteria in signal processing when the noise covariance matrix is arbitrary. - Kwok-Wai Tam; Yuehua Wu (IEEE Trans. Inf. Theory, 1991)

Randomized penalty in detection of the number of signals. - Yuehua Wu; Kwok-Wai Tam (IEEE Trans. Signal Process., 1994)

On determination of the number of signals in spatially correlated noise. - Yuehua Wu; Kwok-Wai Tam (IEEE Trans. Signal Process., 1998)

On determination of the number of signals. - Yuehua Wu; Kwok-Wai Tam (SIP, 2001)

M-estimation in exponential signal models. - Yuehua Wu; Kwok-Wai Tam (IEEE Trans. Signal Process., 2001)

Determination of number of sources with multiple arrays in correlated noise fields. - Yuehua Wu; Kwok-Wai Tam; Fu Li (IEEE Trans. Signal Process., 2002)

An Enhanced Massively Multi-agent System for Discovering HIV Population Dynamics. - Shiwu Zhang; Jie Yang 004; Yuehua Wu; Jiming Liu 001 (ICIC (2), 2005)

Likelihood-ratio tests for normality. - Jin Zhang; Yuehua Wu (Comput. Stat. Data Anal., 2005)

Sharing or Piracy? An Exploration of Downloading Behavior. - Robert LaRose; Ying Ju Lai; Ryan Lange; Bradley Love; Yuehua Wu (J. Comput. Mediat. Commun., 2005)

Review of Crosstalk Elimination Methods for Ultrasonic Range Systems in Mobile Robots. - Qinghao Meng; Fengjuan Yao; Yuehua Wu (IROS, 2006)

k-Sample tests based on the likelihood ratio. - Jin Zhang; Yuehua Wu (Comput. Stat. Data Anal., 2007)

An M-Estimation-Based Procedure for Determining the Number of Regression Models in Regression Clustering. - Calyampudi R. Rao; Yuehua Wu; Qing Shao (Adv. Decis. Sci., 2007)

Design and fabrication of in-plane resonant microcantilevers. - Yuehua Wu; Grigory Panaitov; Yi Zhang; Norbert Klein (Microelectron. J., 2008)

A Procedure for Estimating the Number of Clusters in Logistic Regression Clustering. - Guoqi Q. Qian; Yuehua Wu; Qing Shao (J. Classif., 2009)

Strong convergence rate of estimators of change point and its application. - Xiaoping Shi; Yuehua Wu; Baiqi Miao (Comput. Stat. Data Anal., 2009)

General Linear Models. - Yuehua Wu (International Encyclopedia of Statistical Science, 2011)

A social-cognitive approach to online game cheating. - Yuehua Wu; Vivian Hsueh-Hua Chen (Comput. Hum. Behav., 2013)

Selecting an adaptive sequence for computing recursive M-estimators in multivariate linear regression models. - Baiqi Miao; Qian Tong; Yuehua Wu; Baisuo Jin (J. Syst. Sci. Complex., 2013)

A novel and fast methodology for simultaneous multiple structural break estimation and variable selection for nonstationary time series models. - Baisuo Jin; Xiaoping Shi; Yuehua Wu (Stat. Comput., 2013)

Protecting personal data in E-government: A cross-country study. - Yuehua Wu (Gov. Inf. Q., 2014)

Group identification as a mediator of the effect of players' anonymity on cheating in online games. - Vivian Hsueh-Hua Chen; Yuehua Wu (Behav. Inf. Technol., 2015)

Detection of Changes in Ground-Level Ozone Concentrations via Entropy. - Yuehua Wu; Baisuo Jin; Elton Chan (Entropy, 2015)

Semisupervised Clustering by Iterative Partition and Regression with Neuroscience Applications. - Guoqi Q. Qian; Yuehua Wu; Davide Ferrari; Puxue Qiao; Frédéric Hollande (Comput. Intell. Neurosci., 2016)

A sequential multiple change-point detection procedure via VIF regression. - Xiaoping Shi; Xiang-Sheng Wang; Dongwei Wei; Yuehua Wu (Comput. Stat., 2016)

Adolescents' social reading: motivation, behaviour, and their relationship. - Wu Li; Yuehua Wu (Electron. Libr., 2017)

Understanding Online Game Cheating: Unpacking the Ethical Dimension. - Yuehua Wu; Vivian Hsueh-hua Chen (Int. J. Hum. Comput. Interact., 2018)

General matching quantiles M-estimation. - Shanshan Qin; Yuehua Wu (Comput. Stat. Data Anal., 2020)

An Entropy-Based Approach to Portfolio Optimization. - Peter Joseph Mercurio; Yuehua Wu; Hong Xie (Entropy, 2020)

Portfolio Optimization for Binary Options Based on Relative Entropy. - Peter Joseph Mercurio; Yuehua Wu; Hong Xie (Entropy, 2020)

Option Portfolio Selection with Generalized Entropic Portfolio Optimization. - Peter Joseph Mercurio; Yuehua Wu; Hong Xie (Entropy, 2020)

Asymptotic properties on high-dimensional multivariate regression M-estimation. - Hao Ding; Shanshan Qin; Yuehua Wu; Yaohua Wu (J. Multivar. Anal., 2021)

Estimation of the Covariance Matrix in Hierarchical Bayesian Spatio-Temporal Modeling via Dimension Expansion. - Bin Sun; Yuehua Wu (Entropy, 2022)

B-Spline Method for Spatio-Temporal Inverse Model. - Hongxia Wang; Zihan Zhao; Yuehua Wu; Xuehong Luo (J. Syst. Sci. Complex., 2022)

PoWVDF: Progressive Real-Time Block Rate Targeting. - Yuehua Wu; Feihu Yan; Yunxiao Wang; Wenzhi Chen (BCCA, 2023)

Change-Point Detection in a High-Dimensional Multinomial Sequence Based on Mutual Information. - Xinrong Xiang; Baisuo Jin; Yuehua Wu (Entropy, 2023)

Change-Point Detection for Multi-Way Tensor-Based Frameworks. - Shanshan Qin; Ge Zhou; Yuehua Wu (Entropy, 2023)

The link between online gaming behaviour and unethical decision-making in emerging adults: the mediating roles of game cheating and moral disengagement. - Yuehua Wu; Jie Hu; Wu Li (Behav. Inf. Technol., 2023)

The Financial Risk Measurement EVaR Based on DTARCH Models. - Xiaoqian Liu; Zhenni Tan; Yuehua Wu; Yong Zhou (Entropy, 2023)

Robust Two-Stage Estimation in General Spatial Dynamic Panel Data Models. - Hao Ding; Baisuo Jin; Yuehua Wu (J. Syst. Sci. Complex., 2023)

ShardingSim: A Modular Committee-Based Sharding Blockchain Simulator. - Yuehua Wu; Yunxiao Wang; Feihu Yan; Wenzhi Chen (ICBC, 2024)

On robust estimation of hidden semi-Markov regime-switching models. - Shanshan Qin; Zhenni Tan; Yuehua Wu (Ann. Oper. Res., 2024)

Bayesian grouping-Gibbs sampling estimation of high-dimensional linear model with non-sparsity. - Shanshan Qin; Guanlin Zhang; Yuehua Wu; Zhongyi Zhu (Comput. Stat. Data Anal., 2025)

Bootstrap Confidence Intervals for Multiple Change Points Based on Two-Stage Procedures. - Li Hou; Baisuo Jin; Yuehua Wu; Fangwei Wang (Entropy, 2025)

PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data. - Shanshan Qin; Zhenni Tan; Weidong Wei; Yuehua Wu (Stat. Comput., 2025)

Correction: PCA-uCPD: an ensemble method for multiple change-point detection in moderately high-dimensional data. - Shanshan Qin; Zhenni Tan; Dongwei Wei; Yuehua Wu (Stat. Comput., 2025)