Jianxin Pan

发表

Local influence assessment in the growth curve model with unstructured covariance

Dietrich von Rosen, Kai-Tai Fang, Jianxin Pan, 1997 .

UNIFORM DESIGNS BASED ON LATIN SQUARES

Kai-Tai Fang, Wai Chee Shiu, Jianxin Pan, 1999 .

Covariance structure regularization via Frobenius-norm discrepancy

Defei Zhang, Jianxin Pan, Xiangzhao Cui, 2016 .

A modified L2-star discrepancy method for measuring mixing uniformity in a direct contact heat exchanger

Jianxin Pan, Qingtai Xiao, Jianxin Xu, 2016 .

Modeling of covariance structures of random effects and random errors in linear mixed models

Yating Pan, Jianxin Pan, Y. Fei, 2016 .

Modelling conditional covariance in the linear mixed model

G. MacKenzie, Jianxin Pan, 2007 .

Variable Selection in General Frailty Models Using Penalized H-Likelihood

Youngjo Lee, I. Ha, Jianxin Pan, 2014 .

Regularization for high-dimensional covariance matrix

Jianxin Pan, Xiangzhao Cui, Chun Li, 2016 .

Walking on the Road to the Statistical Pyramid

G. Tian, Jianxin Pan, Jiajuan Liang, 2020 .

Bayesian Local Influence for the Growth Curve Model with Rao's Simple Covariance Structure

Kai-Tai Fang, Jianxin Pan, Erkki P. Liski, 1996 .

On the posterior distribution of the covariance matrix of the growth curve model

D. Rosen, K. Fang, Jianxin Pan, 1998 .

Bayesian local influence in growth curve model with unstructured covariance

D. Rosen, K. Fang, Jianxin Pan, 1999 .

Multiple outlier detection in multivariate data using projection pursuit techniques

Kai-Tai Fang, Jianxin Pan, W. Fung, 2000 .

Semiparametric Mean–Covariance Regression Analysis for Longitudinal Data

Chenlei Leng, Weiping Zhang, Jianxin Pan, 2009 .

A semiparametric mixture regression model for longitudinal data

T. Nummi, Jianxin Pan, Janne Salonen, 2018 .

A general joint model for longitudinal measurements and competing risks survival data with heterogeneous random effects

Xin Huang, Gang Li, Jianxin Pan, 2011, Lifetime data analysis.

Robust hypothesis testing for asymmetric nominal densities under a relative entropy tolerance

Enbin Song, Qingjiang Shi, Yunmin Zhu, 2018, Science China Mathematics.

Quasi-Monte Carlo Estimation in Generalized Linear Mixed Model with Correlated Random Effects

Jianxin Pan, Y. Fei, Yin Chen, 2015 .

Statistical Inference in Generalized Linear Mixed Models by Joint Modelling Mean and Covariance of Non-Normal Random Effects

Jianxin Pan, Y. Fei, Yin Chen, 2015 .

Extraction and evolution of bubbles attributes in a two-phase direct contact evaporator

Jianxin Pan, Jianxin Xu, Q. Xiao, 2018, International Journal of Heat and Mass Transfer.

Complexity evolution quantification of bubble pattern in a gas-liquid mixing system for direct-contact heat transfer

Jianxin Pan, Manman Wu, Jianxin Xu, 2018, Applied Thermal Engineering.

A Novel Approach for Measuring Bubbles Uniformity and Mixing Efficiency in a Direct Contact Heat Exchanger

Jianxin Pan, Y. Fei, Jianxin Xu, 2015 .

Modeling of mean-covariance structures in generalized estimating equations with dropouts

Kun Liu, T. Nummi, Jianxin Pan, 2013 .

High arsenic in rice is associated with elevated genotoxic effects in humans

Jianxin Pan, D. Mondal, M. Banerjee, 2013, Scientific Reports.

Variable Selection in Joint Mean and Dispersion Models via Double Penalized Likelihood

M. Tranmer, Jianxin Pan, C. Charalambous, 2014, Sankhya B.

Influence Analysis in Linear Mixed Models

Jianxin Pan, Y. Fei, 2006 .

Variable selection in joint modelling of the mean and variance for hierarchical data

M. Tranmer, Jianxin Pan, C. Charalambous, 2015 .

Estimation of Covariance Matrix with ARMA Structure Through Quadratic Loss Function

Jianxin Pan, Xiangzhao Cui, Chun Li, 2020 .

jmcm: An R Package for Joint Mean-Covariance Modeling of Longitudinal Data

Yi Pan, Jianxin Pan, Jianxin Pan, 2017 .

Prior elicitation in Bayesian quantile regression for longitudinal data

Rahim Alhamzawi, Keming Yu, Jianxin Pan, 2011 .

Bayesian Influence Assessment in the Growth Curve Model with Unstructured Covariance

W. Fung, Jianxin Pan, 2000 .

Case-Deletion Diagnostics for Linear Mixed Models

Yu Fei, Peter Foster, Jianxin Pan, 2014, Technometrics.

An original technique for quantifying the flow-field characteristics in an electrodeposition process of Zn-SiO2 with Fe

Jianxin Pan, Jianxin Xu, Q. Xiao, 2018 .

Integrative analysis of Mendelian randomization and Bayesian colocalization highlights four genes with putative BMI-mediated causal pathways to diabetes

M. Rutter, Jianxin Pan, Hui Guo, 2020, Scientific Reports.

Time-Dependent Relationships Between Human Brain and Body Temperature After Severe Traumatic Brain Injury

Jianxin Pan, C. Childs, A. Vail, 2013 .

A deterministic and stochastic model for the system dynamics of tumor–immune responses to chemotherapy

Jianxin Pan, Xiangdong Liu, Jianxin Pan, 2018, Physica A: Statistical Mechanics and its Applications.

Modeling past event feedback through biomarker dynamics in the multistate event analysis for cardiovascular disease data

Jianxin Pan, Hongsheng Dai, Chuoxin Ma, 2021, The Annals of Applied Statistics.

Estimating the sample mean and standard deviation from order statistics and sample size in meta-analysis

Jie Zhou, Jianxin Pan, Siyu Cai, 2021, Statistical methods in medical research.

Influential observation in the growth curve model with unstructured covariance matrix

K. Fang, Jianxin Pan, 1996 .

Nonparametric estimation of mean and covariance structures for longitudinal data

Huazhen Lin, Jianxin Pan, Jianxin Pan, 2013 .

Variable Selection in Joint Modelling of the Mean and Variance via H-likelihood

M. Tranmer, Jianxin Pan, C. Charalambous, 2011 .

Modelling of covariance structures in generalised estimating equations for longitudinal data

Jianxin Pan, Jianxin Pan, Huajun Ye, 2006 .

Sphericity and Identity Test for High-dimensional Covariance Matrix Using Random Matrix Theory

Shou-cheng Yuan, Jie Zhou, Jian-xin Pan, 2021, Acta Mathematicae Applicatae Sinica, English Series.

A Tighter Set-Membership Filter for Some Nonlinear Dynamic Systems

Yunmin Zhu, Zhiguo Wang, Xiaojing Shen, 2018, IEEE Access.

Monte Carlo set-membership filtering for nonlinear dynamic systems

Yunmin Zhu, Zhiguo Wang, Xiaojing Shen, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Semiparametric hierarchical model with heteroscedasticity

M. Tian, Jianxin Pan, Chuoxin Ma, 2017 .

Nonparametric Regression of Covariance Structuresin Longitudinal Studies

Runze Li, Jianxin Pan, Huajin Ye, 2009 .

Joint Modelling of Survival and Longitudinal Data with Informative Observation Times

Jianxin Pan, Hongsheng Dai, 2018 .

Multiple outlier detection in growth curve model with unstructured covariance matrix

K. Fang, Jianxin Pan, 1995 .

Computational Statistics and Data Analysis Covariance Structure Regularization via Entropy Loss Function

Nicholas J. Higham, Lijing Lin, Jianxin Pan, 2022 .

Growth curve models and statistical diagnostics

Jianxin Pan, Kai-Tang Fang, K. Fang, 2002 .

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

Robin Thompson, Jianxin Pan, Robin Thompson, 2003, Comput. Stat..

Generalized linear mixed models: An improved estimating procedure

Jianxin Pan, Robin Thompson, Robin Thompson, 2000 .

Composite hierachical linear quantile regression

Keming Yu, M. Tian, Jianxin Pan, 2014 .

Empirical likelihood for generalized linear models with longitudinal data

Daoji Li, Jianxin Pan, Daoji Li, 2013, J. Multivar. Anal..

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

Jianxin Pan, Jie Zhou, Chen Chen, 2019, Commun. Stat. Simul. Comput..

Hellinger distance-based stable sparse feature selection for high-dimensional class-imbalanced data

Jianxin Pan, G. Fu, Min-Jie Zong, 2020, BMC Bioinformatics.

Tuning model parameters in class‐imbalanced learning with precision‐recall curve

Jianxin Pan, Guang Hui Fu, Lun Zhao Yi, 2018, Biometrical journal. Biometrische Zeitschrift.

Synergistic effect of flow pattern evolution of dispersed and continuous phases in direct-contact heat transfer process

Jianxin Pan, Y. Fei, Jianxin Xu, 2020, International Journal of Refrigeration.

Grouped variables selection via alternating direction method of multipliers in longitudinal analysis

Jianxin Pan, Yihe Yang, Chengyu Zhang, 2019, Journal of Physics: Conference Series.

Hypothesis-testing combined with image analysis to quantify evolution of bubble swarms in a direct-contact boiling heat transfer process

Zhihan Lv, Hua Wang, Jianxin Pan, 2017 .

Exploring the sources of ‘missingness’ in brain tissue monitoring datasets: An observational cohort study

Jianxin Pan, C. Childs, Kun Liu, 2011, Brain injury.

LASSO‐based false‐positive selection for class‐imbalanced data in metabolomics

Lunzhao Yi, Jianxin Pan, Guang-Hui Fu, 2019, Journal of Chemometrics.

Joint Longitudinal and Survival-cure Modelswith Constrained Parameters in TumourXenograft Experiments

Hong-Bin Fang, Y. Bao, Jianxin Pan, 2009 .

Bayesian inference for joint modelling of longitudinal continuous, binary and ordinal events

Jianxin Pan, John Belcher, Qiuju Li, 2016, Statistical methods in medical research.

Non-uniformity quantification of temperature and concentration fields by statistical measure and image analysis

Zhihan Lv, Jianxin Pan, Qingtai Xiao, 2017 .

Joint longitudinal and survival‐cure models in tumour xenograft experiments

Yanchun Bao, Hong-Bin Fang, Jianxin Pan, 2014, Statistics in medicine.

Testing for Cubic Smoothing Splines under Dependent Data

T. Nummi, Jianxin Pan, Kun Liu, 2011, Biometrics.

Hellinger distance-based stable sparse feature selection for high-dimensional class-imbalanced data

Yuan-Jiao Wu, Min-Jie Zong, Jianxin Pan, 2020, BMC Bioinformatics.

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

Jianxin Pan, Jie Zhou, Yihe Yang, 2021, J. Multivar. Anal..

Covariance structure regularization via Frobenius-norm discrepancy

Jianxin Pan, Xiangzhao Cui, Jin-e Zhao, 2016 .

Covariance Matrix Regularization for Banded Toeplitz Structure via Frobenius-Norm Discrepancy

Jianxin Pan, Xiangzhao Cui, Jin-e Zhao, 2019, Contributions to Statistics.

Weighted Competing Risks Quantile Regression Models and Variable Selection

W. Härdle, Keming Yu, M. Tian, 2023, Mathematics.

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

Jianxin Pan, Xuerui Yang, Jianxin Pan, 2021, Commun. Stat. Simul. Comput..

A feasible method for training classified data with sparsity

Jianxin Pan, Yingting Luo, Bing-Jie Guo, 2021, Journal of Physics: Conference Series.

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

Chao Huang, Jianxin Pan, Jianxin Pan, 2013, Statistics and Computing.

Modelling Covariance Structures in Generalized Estimating Equations for Longitudinal Data

Jianxin Pan, Jianxin Pan, Huajun Ye, 2004 .

Modelling Mean-Covariance Structures in the Growth Curve Model

D. Rosen, Jianxin Pan, 2005 .

Variable Selection for Joint Mean andCovariance Models via Penalized Likelihood

Jianxin Pan, Chaofeng Kou, 2009 .

On modelling mean‐covariance structures in longitudinal studies

Gilbert MacKenzie, Jianxin Pan, G. MacKenzie, 2003 .

Modelling conditional covariance structure in linear mixed models

G. MacKenzie, Jianxin Pan, 2001 .

INFLUENTIAL OBSERVATION IDENTIFICATION IN THE GROWTH CURVE MODEL WITH RAO'S SIMPLE COVARIANCE STRUCTURE

Jianxin Pan, Jianxin Pan, 2002 .

Sampling estimating equation for logistic regression with multi-dimensional missing binary covariates: application to a divorce data

Jianxin Pan, Yingting Luo, Bing Guo, 2021, Journal of Physics: Conference Series.

Integrative analysis of Mendelian randomization and Bayesian colocalization highlights four genes with putative BMI-mediated causal pathways to diabetes

M. Rutter, Jianxin Pan, Hui Guo, 2020, Scientific Reports.