Econometrics and Financial Statistics
X. Fan, K. Fang, W. Lan, C-L Tsai. Network Varying coefficient Model. Journal of the American Statistical Association.2025
Y. Qiu, Y. Chen*, Kan Fang, K. Fang*. A Novel Communication-efficient Heterogeneous Federated Positive and Unlabelled Learning Method for Credit Scoring. Computers and Operation Research. 2025
D. Pu#, K. Fang#, W. Lan, J. Yu, Q. Zhang, Multivariate Spatiotemporal Models with Low Rank Coefficient Matrix. Journal of Econometrics. 2024
Y. Chen, K. Fang, Q. Zhang, W. Lan. Community Influence Analysis in Social Networks. Computational Statistics and Data Analysis. 2024
Y. Qiu, Y. Chen, Kan Fang*, L. Yu*, K. Fang*. Fraud Detection by Integrating Multisource Heterogeneous Presence-only Data. INFORMS Journal on Computing(UTD 24). 2024
D. Pu#, K. Fang#, W. Lan, J. Yu, Q. Zhang.Reduced Rank Spatio-temporal Models. Journal of Business&Economic Statistics. 2024 pdf
X. Zhang, Q. Zhang, K. Fang*. Functional linear model with prior information of subjects' network. Journal of Computational
and Graphical Statistics. 2024. (pdf )
X. Fan, K. Fang#, D. Pu, R. Qin. Generalized Latent Space Model for One-mode Networks with Awareness of Two-mode Networks. Computational Statistics and Data Analysis. 2024. (pdf )
Y. Wu, W. Lan, X. Fan*, K. Fang#. Bipartie network influence analysis for a two-mode network. Journal of Econometrics. 2023
T. Zheng, X. Fan, J. Wei, K. Fang. Forecasting CPI with Multi-Source Data: The Value of Media and Internet Information. Journal of Forecasting. 2023
T. Zheng, X. Fan, J. Wei, K. Fang. Words or Numbers? Macroeconomic Nowcasting with Textual and Macroeconomic Data. International Journal of Forecasting. 2023
S. Chen, Y. Qiu, J. Li, K. Fang, K. Fang*. Precision Marketing for Financial Industry Using a PU-learning Recommendation Method.Journal of Business Research (ABS3). 2023
K. Fang, W. Lan, D. Pu, Q. Zhang. Spatial Autoregressive Models with Generalized Spatial Disturbances. Statistica Sinica. 2022
K.Fang, Y. Jiang, M. Song, Customer Profitability Forecasting using Big Data Analytics: A Case Study of the Insurance Industry.Computers and Industrial Engineering. 2016
M.Song, K. Fang, J. Zhang, J. Wu. The Co-movement between Chinese Oil Market and Other Main International Oil Markets. Computational Economics. 2016
W. Lan, Y. Ding, Z. Fang, K. Fang*. Testing Covariates in High Dimension Regression with Latent Factors.Journal of Multivariate Analysis. 2015.11
W. Lv, X. Hong, K. Fang*. Chinese Regional Energy Efficiency Evaluation based on Super Efficiency DEA Model and Malmquist Index. Annals of Operation Research. 2015.5
Statistical Machine Learning and Biostatistics
J. Li, Q. Zhang, S. Ma, K. Fang*, Yaqing Xu*. Hierarchical Multi-Label Classification with Gene-Environment Interactions in
Disease Modeling. Statistics in Medicine. 2025
Y. Zhang, R. Pan, X. Zhu, K. Fang, H. Wang. A Latent Space Model for Weighted Keyword Co-occurrence Networks with Applications in Knowledge Discovery in Statistics. Journal of Computational and Graphical Statistics. 2024
Y.Chen, Q. Zhang, S. Ma, K. Fang*. Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis. Journal of Machine Learning Research. 2024
R. Ren, K. Fang, Q. Zhang ,S. Ma. FunctanSNP: an R package for functional analysis of dense SNP data (with interactions) .
Bioinformatics. 2023
K. Fang, J. Li, Q. Zhang, Y. Xu, S. Ma. Pathological Imaging-assisted Cancer Gene-environment Interaction Analysis. Biometrics. 2023
K. Fang, J. Li, Y. Xu, S. Ma, Q. Zhang. Gene-Environment Interaction Analysis Under the Cox Model. Annals of the Institute of Statistical Mathematics. 2023
R. Ren, K. Fang*, Q. Zhang, X.Wang*. Multivariate Functional Data Clustering Using Adaptive Density Peak Detection. Statistics in Medicine. 2023
X. Zhang, Q. Zhang, S. Ma, K. Fang*. Subgroup Analysis for High-dimensional Functional Regression. Journal of Multivariate Analysis. 2022
J. Li, Q. Zhang, S. Chen, K.Fang*. Weighted Multiple Blockwise Imputation Method for High-Dimensional Regression with Blockwise Missing Data. Journal of Statistical Computation and Simulation. 2022
K. Fang, R. Ren, Q. Zhang, S. Ma. iSFun: an R Package for Integrative Dimension Reduction Analysis. Bioinformatics. 2022
K. Fang, X. Fan, S. Ma, Q. Zhang. Network Adaptive Robust Penalized Estimation of Time-varying Coefficient Longitudinal Data. Journal of Statistical Computation and Simulation. 2022
X. Zhang, K. Fang, Q. Zhang. Multivariate Functional Generalized Additive Models. Journal of Statistical Computation and Simulation. 2021
K. Fang, Y. Chen, S. Ma, Q. Zhang. Biclustering Analysis of Functionals using Penalization Fusion. Journal of Multivariate Analysis. 2021
D. Zeng, J. Li,S. Lin, X. Dong, J. You, Q. Xing, Y. Ren, W. Chen, Y. Cai, K. Fang, M. Hong, Y. Zhu, J. Pan. Global Burden of Acute Viral Hepatitis and its Association with Socioeconomic Development Status, 1990–2019. Journal of Hepatology ( 影响因子IF 26.8), 2021.5.
X. Fan Q. Zhang, S. Ma, K. Fang*. Conditional Score Matching for High-Dimensional Partial Graphical Models. Computational Statistics and Data Analysis. 2020
K. Fang, P. Wang, X. Zhang, Q. Zhang. Structured Sparse Support Vector Machine with Features Arranged in Order. Journal of Applied Statistics. 2020
M. Liu, Q. Zhang, K. Fang, S. Ma.Structured Analysis of High-dimensional FMR Model. Computational Statistics and Data Analysis. 2020
K.Fang, X. Zhang, S.Ma, Q.Zhang. Smooth and Locally Sparse Estimation for Multiple-output Functional Linear Regression. Journal of Statistical Computation and Simulation. 2020
X. Zhang, Q. Zhang, X. Wang, S. Ma, K. Fang*. Structured Sparse Logistic Regression with Application to Lung Cancer Prediction using Breath Volatile Biomarkers. Statistics in Medicine. 2020
X. Wang, R. Ren, M. Kattan, L. Jehi, Z. Cheng, K. Fang*, Effects of Public Health Interventions on Hospital Utilization in Patients with COVID-19: a Comparative Study. JMIR Public Health and Surveillance. 2020
X.Fan, K.Fang, S.Ma, Q. Zhang. Assisted Graphical Model for Gene Expression Data Analysis. Statistics in Medicine. 2019
X.Fan., K. Fang, S. Ma, Q. Zhang. Integrating Approximate Single Factor Graphical Models. Statistics in Medicine. 2019
K.Fang, X. Fan, Q. Zhang, S. Ma. Integrative Sparse Pincipal Component Analysis. Journal of Multivariate Analysis. 2018
X. Wang, K. Fang, Q. Zhang, S. Ma. Network-incorporated Integrative Sparse Linear Discriminant Analysis. Statistics and its Interface. 2018
K.Fang, X. Fan, W. Lan B. Wang. Nonparametric Additive Beta Regression for Fractional Response with Application to Body Fat Data. Annals of Operation Research. 2018
K. Fang, X. Wang, S. Ma. Identification of Proportionality Structure Two-part models Using Penalization.
Computational Statistics and Data Analysis. 2016
X. Fan, M. Liu, K. Fang, Y. Huang, S. Ma. Promoting Structural Effects of Covariates in the Cure Rate Model with Penalization. Statistical Methods in Medical Research (IF 4.63). 2016
K.Fang, S. Ma. Analyzing Large Datasets with Bootstrap Penalization. Biometrical Journal. 2016
K. Fang, X. Wang, S. Zhang, J. Zhu & S. Ma. Bi-level Variable Selection via Adaptive Sparse Group Lasso. Journal of Statistical Computation and Simulation. 2014.
K. Fang C. Ma Y. Jiang L. Ye, B. Shia, S. Ma. Illness, MedicalExpenditure and Household Consumption :observations from Taiwan. BMC Public Health . 2013.08
S. Ma, Y. Huang, J. Huang, K. Fang. Gene Network-based Cancer Prognosis Analysis with Sparse Boosting. Genetics Research. 2012.
K. Fang, B. Shia and S. Ma. Health Insurance Coverage, Medical Expenditure and Coping Strategy: Evidence from Taiwan. BMC Health Services Research. 2012.12（422）
K. Fang, Y.Jiang, B. Shia, S. Ma. Impact of Illness and Medical Expenditure on Household Consumptions:a Survey in Western China. PLoS ONE. 2012
K. Fang, B.Shia, S. Ma. Health Insurance Coverage and Impact: a Survey in Three Cities in China. PLoS ONE. 2012.
S. Ma, J. Huang, F. Wei, Y.Xie, and K. Fang. Integrative Analysis of Multiple Cancer Prognosis Studies with Gene Expression Measurements. Statistics in Medicine. 2011.08.