Quasi-Monte Carlo EM Algorithm for MLEs in Generalized Linear Mixed Models. - Jianxin Pan; Robin Thompson (COMPSTAT, 1998)

Gauss-Hermite Quadrature Approximation for Estimation in Generalised Linear Mixed Models. - Jianxin Pan; Robin Thompson (Comput. Stat., 2003)

Quasi-Monte Carlo estimation in generalized linear mixed models. - Jianxin Pan; Robin Thompson (Comput. Stat. Data Anal., 2007)

A Bayesian Association Rule Mining Algorithm. - David Tian; Ann Gledson; Athos Antoniades; Aristos Aristodimou; Dimitrios Ntalaperas; Ratnesh Sahay; Jianxin Pan; Stavros Stivaros; Goran Nenadic; Xiao-Jun Zeng; John A. Keane (SMC, 2013)

Empirical likelihood for generalized linear models with longitudinal data. - Daoji Li; Jianxin Pan (J. Multivar. Anal., 2013)

Covariance structure regularization via entropy loss function. - Lijing Lin; Nicholas J. Higham; Jianxin Pan (Comput. Stat. Data Anal., 2014)

Image quality assessment based on matching pursuit. - Richang Hong; Jianxin Pan; Shijie Hao; Meng Wang 001; Feng Xue 002; Xindong Wu 001 (Inf. Sci., 2014)

Random effects selection in generalized linear mixed models via shrinkage penalty function. - Jianxin Pan; Chao Huang (Stat. Comput., 2014)

Case-Deletion Diagnostics for Linear Mixed Models. - Jianxin Pan; Yu Fei; Peter Foster (Technometrics, 2014)

Monte Carlo set-membership filtering for nonlinear dynamic systems. - Zhiguo Wang; Xiaojing Shen; Yunmin Zhu; Jianxin Pan (FUSION, 2016)

Distributed Detection Fusion via Monte Carlo Importance Sampling. - Hang Rao; Xiaojing Shen; Yunmin Zhu; Jianxin Pan (CoRR, 2016)

A calibration method for non-positive definite covariance matrix in multivariate data analysis. - Chao Huang; Daniel Farewell; Jianxin Pan (J. Multivar. Anal., 2017)

A Tighter Set-Membership Filter for Some Nonlinear Dynamic Systems. - Zhiguo Wang 005; Xiaojing Shen; Yunmin Zhu; Jianxin Pan (IEEE Access, 2018)

Hellinger distance-based stable sparse feature selection for high-dimensional class-imbalanced data. - Guang-Hui Fu; Yuan-Jiao Wu; Min-Jie Zong; Jianxin Pan (BMC Bioinform., 2020)

Joint generalized estimating equations for longitudinal binary data. - Youjun Huang; Jianxin Pan (Comput. Stat. Data Anal., 2021)

Correlation structure regularization via entropy loss function for high-dimension and low-sample-size data. - Chen Chen 035; Jie Zhou 002; Jianxin Pan (Commun. Stat. Simul. Comput., 2021)

Estimation and optimal structure selection of high-dimensional Toeplitz covariance matrix. - Yihe Yang; Jie Zhou 002; Jianxin Pan (J. Multivar. Anal., 2021)

Conditional generalized estimating equations of mean-variance-correlation for clustered data. - Renwen Luo; Jianxin Pan (Comput. Stat. Data Anal., 2022)

Growth curve mixture models with unknown covariance structures. - Yating Pan; Yu Fei; Mingming Ni; Tapio Nummi; Jianxin Pan (J. Multivar. Anal., 2022)

Latent Gaussian copula models for longitudinal binary data. - Cheng Peng; Yihe Yang; Jie Zhou 002; Jianxin Pan (J. Multivar. Anal., 2022)

Mixture regression for longitudinal data based on joint mean-covariance model. - Jing Yu; Tapio Nummi; Jianxin Pan (J. Multivar. Anal., 2022)

Block-diagonal precision matrix regularization for ultra-high dimensional data. - Yihe Yang; Hongsheng Dai; Jianxin Pan (Comput. Stat. Data Anal., 2023)

jmcm: a Python package for analyzing longitudinal data using joint mean-covariance models. - Xuerui Yang; Jianxin Pan (Commun. Stat. Simul. Comput., 2023)

Identifying the Nonlinear Dynamics of Logistic Mapping Using the Modified 0-1 Test for Chaos. - Xiaoxue Zhang; Kai Yang; Wei Xu; Qingtai Xiao; Hua Wang; Jianxin Pan (Int. J. Bifurc. Chaos, 2024)

Fully nonparametric inverse probability weighting estimation with nonignorable missing data and its extension to missing quantile regression. - Ling-Nan Tai; Li Tao; Jianxin Pan; Man-Lai Tang; Keming Yu; Wolfgang Karl Härdle; Maozai Tian (Comput. Stat. Data Anal., 2025)