Jianxin Pan

According to our database, Jianxin Pan authored at least 23 papers between 1998 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

jmcm: a Python package for analyzing longitudinal data using joint mean-covariance models.

Xuerui Yang, Jianxin Pan

Commun. Stat. Simul. Comput., November, 2023

Block-diagonal precision matrix regularization for ultra-high dimensional data.

Yihe Yang, Hongsheng Dai, Jianxin Pan

Comput. Stat. Data Anal., 2023

2022

Mixture regression for longitudinal data based on joint mean-covariance model.

Jing Yu, Tapio Nummi, Jianxin Pan

J. Multivar. Anal., 2022

Latent Gaussian copula models for longitudinal binary data.

Cheng Peng, Yihe Yang, Jie Zhou, Jianxin Pan

J. Multivar. Anal., 2022

Growth curve mixture models with unknown covariance structures.

Yating Pan, Yu Fei, Mingming Ni, Tapio Nummi, Jianxin Pan

J. Multivar. Anal., 2022

Conditional generalized estimating equations of mean-variance-correlation for clustered data.

Renwen Luo, Jianxin Pan

Comput. Stat. Data Anal., 2022

2021

Estimation and optimal structure selection of high-dimensional Toeplitz covariance matrix.

Yihe Yang, Jie Zhou, Jianxin Pan

J. Multivar. Anal., 2021

Correlation structure regularization via entropy loss function for high-dimension and low-sample-size data.

Chen Chen, Jie Zhou, Jianxin Pan

Commun. Stat. Simul. Comput., 2021

Joint generalized estimating equations for longitudinal binary data.

Youjun Huang, Jianxin Pan

Comput. Stat. Data Anal., 2021

2020

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

2018

A Tighter Set-Membership Filter for Some Nonlinear Dynamic Systems.

Zhiguo Wang, Xiaojing Shen, Yunmin Zhu, Jianxin Pan

IEEE Access, 2018

2017

A calibration method for non-positive definite covariance matrix in multivariate data analysis.

Chao Huang, Daniel Farewell, Jianxin Pan

J. Multivar. Anal., 2017

2016

Distributed Detection Fusion via Monte Carlo Importance Sampling.

Hang Rao, Xiaojing Shen, Yunmin Zhu, Jianxin Pan

CoRR, 2016

Monte Carlo set-membership filtering for nonlinear dynamic systems.

Zhiguo Wang, Xiaojing Shen, Yunmin Zhu, Jianxin Pan

Proceedings of the 19th International Conference on Information Fusion, 2016

2014

Case-Deletion Diagnostics for Linear Mixed Models.

Jianxin Pan, Yu Fei, Peter Foster

Technometrics, 2014

Random effects selection in generalized linear mixed models via shrinkage penalty function.

Jianxin Pan, Chao Huang

Stat. Comput., 2014

Image quality assessment based on matching pursuit.

Richang Hong, Jianxin Pan, Shijie Hao, Meng Wang, Feng Xue, Xindong Wu

Inf. Sci., 2014

Covariance structure regularization via entropy loss function.

Lijing Lin, Nicholas J. Higham, Jianxin Pan

Comput. Stat. Data Anal., 2014

2013

Empirical likelihood for generalized linear models with longitudinal data.

Daoji Li, Jianxin Pan

J. Multivar. Anal., 2013

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

Proceedings of the IEEE International Conference on Systems, 2013

2007

Quasi-Monte Carlo estimation in generalized linear mixed models.

Jianxin Pan, Robin Thompson

Comput. Stat. Data Anal., 2007

2003

Gauss-Hermite Quadrature Approximation for Estimation in Generalised Linear Mixed Models.

Jianxin Pan, Robin Thompson

Comput. Stat., 2003

1998

Quasi-Monte Carlo EM Algorithm for MLEs in Generalized Linear Mixed Models.

Jianxin Pan, Robin Thompson

Proceedings of the COMPSTAT 1998, 1998