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 MultivariateAnalysis. 2021
X. Zhang, Q. Zhang, S. Ma,K. Fang*. Conditional ScoreMatching for High-Dimensional Partial Graphical M odels. 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
LinearRegression. Journal of Statistical Computation and Simulation. 2020
X.Fan.,K. Fang, S. Shuang, 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 Applicationto 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
W. Lan, Y. Ding, Z. Fang,K. Fang*. Testing Covariates in High Dimension Regression with Latent Factors.
Journal of Multivariate Analysis. 2015.11
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.
方匡南陈远星 张庆昭 马双鸽. 双向聚类综述. 数理统计与管理. 2019.8
王小燕方匡南马双鸽.高维数据的群组变量选择方法综述. 数理统计与管理. 2015.11
方匡南吴见彬.随机森林方法综述, 统计与信息论坛，2011年3期
范新妍方匡南郑陈璐 张志远. 基于整合治愈率模型的信贷违约时点预测. 统计研究.2021.2
朱建平 郑陈璐方匡南. 缺失数据下的两阶段信用评分模型——基于互联网消费金融数据的研究.
数理统计与管理.2020.12
张晶方匡南*张喆 史兴杰 郑陈璐. 基于连续比率模型的消费金融风控研究. 统计研究.2020
该文被中国人民大学书报资料中心复印报刊资料 《统计与精算》2021年3期全文转载.
方匡南陈子岚. 基于半监督广义可加logistic的信用评分研究. 系统工程理论与实践. 2020.2
方匡南赵梦峦. 基于多源数据融合的个人信用评分研究. 统计研究. 2018.12
该文被中国人民大学书报资料中心复印报刊资料 《统计与精算》2019年3期全文转载.
方匡南杨阳. SGL-SVM方法及其在企业财务困境预测中的应用. 统计研究. 2018.8
方匡南等. 半参数可加beta回归模型及其应用. 中国管理科学. 2017
马双鸽 刘蒙阙方匡南.大数据时代统计学发展的若干问题. 统计研究.2017
方匡南范新妍 马双鸽.基于网络结构Logistic模型的企业信用风险预警研究. 统计研究.2016.4
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
马双鸽 王小燕方匡南.大数据的整合分析研究. 统计研究. 2015.11.
方匡南何纯.中国IPO制度与新股市场特征：基于Sai-GA-SVR的实证分析.管理科学学报.2015.04
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
K. Fang, J. Wu, C. Nguyen. The Risk-return Tradeoff in a Liberalized Emerging Stock Market:
Evidence from Vietnam.Emerging Market of Finance and Trade. 2015
M. Song, G. Zhang, W. Zeng, J. Liu,K. Fang*. Railway Transportation and Environmental Efficiency in China
Transportation Research Part D: Transport and Environment. 2015
方匡南吴见彬 谢邦昌.基于随机森林的保险客户利润贡献度研究.数理统计与管理. 2014.06
王小燕方匡南.基于adSGL-logit的信用卡信用评分模型研究.统计研究.2014.09
方匡南章贵军 张慧颖.基于lasso-logistic的个人信用风险预警方法.数量经济技术经济研究.2014(2).
方匡南吴见彬. 个人住房贷款违约预测与利率政策模拟.统计研究. 2013.10(30)
方匡南章紫艺. 社会保障对城乡家庭消费的影响研究. 统计研究. 2013.30(3)
方匡南蔡振忠. 我国股指期货价格发现功能研究, 统计研究, 2012年05期
方匡南朱建平. 有序聚类虚拟变量法及其应用, 数理统计与管理， 2012年03期
朱建平方匡南. 基于家庭收入的保障性住房标准研究, 统计研究, 2011 年 10 期
方匡南朱建平 谢邦昌.基于聚类关联规则的缺失数据处理研究, 统计研究, 2011年2期
方匡南吴见彬 朱建平 谢邦昌.信贷信息不对称下的信用卡信用风险研究——
基于非参数随机森林模型的实证分析,经济研究,2010.12S
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, 1990–2 019. Journal of Hepatology( 影响因子IF 20.58), 2021.5.
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. 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.Fan,K.Fang, S.Ma, Q. Zhang. Assisted Graphical Model for Gene Expression Data Analysis.
Statistics in Medicine. 2019
M.Hong, L. Ye, L. Jin, Y. Ren, X. Yu, R. Zhang,K. Fang*, J. Pan*. Noninvasive Scoring System for
Significant Inflammation Related to Chronic Hepatitis B.Scientific reports(Nature子刊). 2017
M. Liu, X. Fan,K.Fang,Q. Zhang, S. Ma. Integrative Sparse Principal Component Analysis of
Gene Expression Data with Homogeneity Sparsity Structure.Genetic Epidemiology. 2017
M. Hong, W. Huang, F.Min, J. Xu, Z. Lin,K. Fang*, JinshuiPan. Ehanced HBsAg Synthesis Correlates
with Increased Severity ofFibrosis in Chronic Hepatitis B Patients.PLOS One. 2014 9(1) e87344
X. Wang, B. Hu, B.Wang andK. Fang. Bayesian Generalized Varying Coefficient Models with Errors-in-variables: An application to Aneurophysiological Study. Journal of Applied Statistics. 2014(2)
S. Ma, Y. Huang, J. Huang, K. Fang. Gene Network-based Cancer Prognosis Analysis with Sparse Boosting.
Genetics Research. 2012.04.
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. FangC. Ma Y. Jiang L. Ye, B. Shia, S. Ma. Illness, MedicalExpenditure and Household Consumption :
observations from Taiwan.BMC Public Health. 2013.08
K. Fang*, S. Ma. Three-part Model for Fractional Response Variables with Application to Chinese Household
Health Insurance Coverage.Journal of Applied Statistics. 2013.40（05）
K. Fang; Y.Jiang; B. Shia; S. Ma. Impact of Illness and Medical Expenditure on Household Consumptions:
a Surveyin 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. 2012.06.
S. Ma, J. Huang, F. Wei, Y.Xie, andK. Fang.Integrative Analysis of Multiple Cancer Prognosis Studies
with Gene Expression Measurements.Statistics in Medicine. 2011.08.
Q. Mao, J., Pan,Kuangnan Fang#.Ru-mian Zhang et al. Precise Prediction ModelandSimplified Scoring
System for Sustained Combined Response to Interferon-alpha.World Journal of Gastroenterology. 2010.16(27).
方匡南马双鸽 谢邦昌. 台湾地区居民医疗保险、医疗支出调查及其启示,台湾研究, 2012.03
该文被中国人民大学书报资料中心复印报刊资料 《社会保障制度》2012年11期全文转载；
被中央编译局全文转载；被中国改革论坛网全文转载
洪美珠方匡南毛乾国黄文琪夏挺宋闽宁张如棉潘金水.干扰素α治疗慢性乙型肝炎疗效预测
的评分量表.中华肝脏病杂志.2011.10.
