康凯，博士，必赢唯一官方网站副教授。2015年本科毕业于必赢体育官网登录数学与计算科学学院，2020年博士毕业于香港中文大学统计系，2020-2022年于哥伦比亚大学从事博士后研究。2022年7月加入必赢唯一官方网站，任副教授，硕士生导师。主要研究方向为潜变量模型，纵向数据与生存数据的联合建模，贝叶斯分析等。以第一/通讯作者发表论文于Annals of Applied Statistics, Journal of Computational and Graphical Statistics, Journal of Multivariate Analysis, Statistics in Medicine等SCI权威期刊。
科研论文：
✝ corresponding author
* indicates students under my supervision/co-supervision
2024+
Kai Kang ✝ and Yuqi Gu ✝ (2024+) A Blockwise Mixed Membership Model for Multivariate Longitudinal Data: Discovering Clinical Heterogeneity and Identifying Parkinson's Disease Subtypes. (Submitted) [arXiv]
Yuyang He *, Xinyuan Song ✝ and Kai Kang ✝ (2024+). Mixed Membership Latent Variable Model with Unknown Factors, Factor Loadings and Number of Extreme Profiles. (Submitted)
Zhihao Wu *, Xinyuan Song ✝ and Kai Kang ✝ (2024+). Longitudinal Mixed Membership Image-on-Scalar Model. (Submitted)
Kai Kang ✝, Qinxia Wang, Zhanpeng Xu and Yuanjia Wang (2024+) A Bayesian Mixture of Exponential Family Factor Models for Uncovering Disease Progression Subtypes. (Submitted)
2024
11. Yuyang He *, Xinyuan Song ✝ and Kai Kang ✝ (2024). Joint Mixed Membership Modeling of Multivariate Longitudinal and Survival Data for Learning the Individualized Disease Progression. Annals of Applied Statistics, 18(3), 1924-1946 [pdf].
2023
10. Kai Kang and Xinyuan Song (2023). Joint Modeling of Longitudinal Imaging and Survival Data. Journal of Computational and Graphical Statistics, 32, 402-412 [pdf].
2022
9. Kai Kang, Deng Pan and Xinyuan Song (2022). A Joint Model for Multivariate Longitudinal and Survival Data to Discover the Conversion to Alzheimer’s Disease. Statistics in Medicine, 41, 356-373 [pdf]
8. Kai Kang and Xinyuan Song (2022). Consistent Estimation of Joint Model for Multivariate Longitudinal and Survival Data with Latent Variables. Journal of Multivariate Analysis, 187, 104827 [pdf]
2021
7. Xiaoxiao Zhou, Kai Kang, Timothy Kwok and Xinyuan Song (2021). Joint Hidden Markov Model for longitudinal and Time-to-Event Data with Latent Variables. Multivariate Behavioral Research, published online [pdf]
2020
6. Xiaoxiao Zhou, Kai Kang and Xinyuan Song (2020). Two-part Hidden Markov Models for Semicontinuous Longitudinal Data with Nonignorable Missing Covariates. Statistics in Medicine, 39, 1801-1816 [pdf]
2019
5. Kai Kang, Xinyuan Song, Xiaoqiong Hu and Hongtu Zhu (2019). Bayesian Adaptive Group Lasso with Semiparametric Hidden Markov Models. Statistics in Medicine, 38(9), 1634-1650 [pdf]
4. Kai Kang, Jingheng Cai, Hongtu Zhu and Xinyuan Song (2019). Bayesian Hidden Markov Models for Delineating the Pathology of Alzheimer's Disease. Statistical Methods in Medical Research, 28(7), 2112-2124 [pdf]
3. Deng Pan, Kai Kang, Chunjie Wang and Xinyuan Song (2019). Bayesian Proportional Hazards Model with Latent Variables. Statistical Methods in Medical Research, 28(4), 986-1002 [pdf]
2018
2. Jingheng Cai, Ming Ouyang, Kai Kang and Xinyuan Song (2018). Bayesian diagnostics of hidden Markov structural equation models with missing data. Multivariate Behavioral Research, 53(2), 151-171 [pdf]
2017
1. Xinyuan Song, Kai Kang, Ming Ouyang, Xuejun Jiang and Jingheng Cai (2017). Bayesian Analysis of Semiparametric Hidden Markov Models with Latent Variables, Structural Equation Modeling - A Multidisciplinary Journal, 25(1), 1-20 [pdf]
科研小组成员
陈俊轩，统计学学硕
李锦延，统计学学硕
吴正芃，应用统计专硕
周涛，应用统计专硕
黄知予，统计学本科生
李柳佟，应用数学本科生
沈睿扬，应用数学本科生
魏煜鹏，统计学本科生
熊子昂，统计学本科生
叶子键，统计学本科生
张文琦，统计学本科生
张祖崧，统计学本科生
科研项目：
项目名称：带纵向复杂数据类型的混合成员模型的贝叶斯分析
项目来源：国家自然科学基金项目（青年科学基金项目）
起止年月：2024年1月至2026年12月
项目名称：纵向数据与生存数据的高斯过程联合模型
项目来源：广州市科技计划基础与应用研究基础项目
起止年月：2024年1月至2025年12月
