Jianxin Pan

27 papers B 1C 1Journal 24Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Tensor-on-vector regression with interactions with application to fMRI data.
J. Multivar. Anal.
Jinwen Liang, Keming Yu, Jianxin Pan, Wolfgang Karl Härdle, Maozai Tian
2026 J jnl
Variable selection in mixture regression for longitudinal data based on joint mean-covariance model.
J. Multivar. Anal.
Jing Yu, Jianxin Pan
2025 J jnl
Fully nonparametric inverse probability weighting estimation with nonignorable missing data and its extension to missing quantile regression.
Comput. Stat. Data Anal.
Ling-Nan Tai, Li Tao, Jianxin Pan, Man-Lai Tang, Keming Yu, Wolfgang Karl Härdle, Maozai Tian
2024 J jnl
Identifying the Nonlinear Dynamics of Logistic Mapping Using the Modified 0-1 Test for Chaos.
Int. J. Bifurc. Chaos
Xiaoxue Zhang, Kai Yang, Wei Xu, Qingtai Xiao, Hua Wang, Jianxin Pan
2023 J jnl
Block-diagonal precision matrix regularization for ultra-high dimensional data.
Comput. Stat. Data Anal.
Yihe Yang, Hongsheng Dai, Jianxin Pan
2023 J jnl
jmcm: a Python package for analyzing longitudinal data using joint mean-covariance models.
Commun. Stat. Simul. Comput.
Xuerui Yang, Jianxin Pan
2022 J jnl
Conditional generalized estimating equations of mean-variance-correlation for clustered data.
Comput. Stat. Data Anal.
Renwen Luo, Jianxin Pan
2022 J jnl
Growth curve mixture models with unknown covariance structures.
J. Multivar. Anal.
Yating Pan, Yu Fei, Mingming Ni, Tapio Nummi, Jianxin Pan
2022 J jnl
Latent Gaussian copula models for longitudinal binary data.
J. Multivar. Anal.
Cheng Peng, Yihe Yang, Jie Zhou, Jianxin Pan
2022 J jnl
Mixture regression for longitudinal data based on joint mean-covariance model.
J. Multivar. Anal.
Jing Yu, Tapio Nummi, Jianxin Pan
2021 J jnl
Correlation structure regularization via entropy loss function for high-dimension and low-sample-size data.
Commun. Stat. Simul. Comput.
Chen Chen, Jie Zhou, Jianxin Pan
2021 J jnl
Estimation and optimal structure selection of high-dimensional Toeplitz covariance matrix.
J. Multivar. Anal.
Yihe Yang, Jie Zhou, Jianxin Pan
2021 J jnl
Joint generalized estimating equations for longitudinal binary data.
Comput. Stat. Data Anal.
Youjun Huang, Jianxin Pan
2020 J jnl
Hellinger distance-based stable sparse feature selection for high-dimensional class-imbalanced data.
BMC Bioinform.
Guang-Hui Fu, Yuan-Jiao Wu, Min-Jie Zong, Jianxin Pan
2018 J jnl
A Tighter Set-Membership Filter for Some Nonlinear Dynamic Systems.
IEEE Access
Zhiguo Wang, Xiaojing Shen, Yunmin Zhu, Jianxin Pan
2017 J jnl
A calibration method for non-positive definite covariance matrix in multivariate data analysis.
J. Multivar. Anal.
Chao Huang, Daniel Farewell, Jianxin Pan
2016 J jnl
Distributed Detection Fusion via Monte Carlo Importance Sampling.
CoRR
Hang Rao, Xiaojing Shen, Yunmin Zhu, Jianxin Pan
2016 C conf
Monte Carlo set-membership filtering for nonlinear dynamic systems.
FUSION
Zhiguo Wang, Xiaojing Shen, Yunmin Zhu, Jianxin Pan
2014 J jnl
Case-Deletion Diagnostics for Linear Mixed Models.
Technometrics
Jianxin Pan, Yu Fei, Peter Foster
2014 J jnl
Covariance structure regularization via entropy loss function.
Comput. Stat. Data Anal.
Lijing Lin, Nicholas J. Higham, Jianxin Pan
2014 J jnl
Image quality assessment based on matching pursuit.
Inf. Sci.
Richang Hong, Jianxin Pan, Shijie Hao, Meng Wang, Feng Xue, Xindong Wu
2014 J jnl
Random effects selection in generalized linear mixed models via shrinkage penalty function.
Stat. Comput.
Jianxin Pan, Chao Huang
2013 B conf
A Bayesian Association Rule Mining Algorithm.
SMC
David Tian, Ann Gledson, Athos Antoniades, Aristos Aristodimou, Dimitrios Ntalaperas, Ratnesh Sahay, Jianxin Pan, Stavros Stivaros, Goran Nenadic, Xiao-Jun Zeng, John A. Keane
2013 J jnl
Empirical likelihood for generalized linear models with longitudinal data.
J. Multivar. Anal.
Daoji Li, Jianxin Pan
2007 J jnl
Quasi-Monte Carlo estimation in generalized linear mixed models.
Comput. Stat. Data Anal.
Jianxin Pan, Robin Thompson
2003 J jnl
Gauss-Hermite Quadrature Approximation for Estimation in Generalised Linear Mixed Models.
Comput. Stat.
Jianxin Pan, Robin Thompson
1998 — conf
Quasi-Monte Carlo EM Algorithm for MLEs in Generalized Linear Mixed Models.
COMPSTAT
Jianxin Pan, Robin Thompson