一、代表性期刊论文(Selected Publication)
*表示通讯作者(* represent corresponding author)
#表示并列第一作者或按姓氏顺序排名(# represent co-first author or in alphabetical order)
(一)统计机器学习方法与理论研究
K. Fang W. Lan D. Pu Q. Zhang. Spatial Autoregressive Models with Generalized Spatial Disturbances.
Statistica Sinica. 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
X. Zhang, 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.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
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.
J. Zhu, K. Fang* . A Multi-stage Chi-square Test for Measurement the Degree of Association in Two-way Table.
Communication in Statistics-Simulation and Computation . 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
(二)经济管理统计与金融科技交叉研究
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(三)应用统计与健康医疗大数据交叉研究
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二、专著与教材
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三、报纸媒体文章
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