人才队伍

蒋家坤

2021-01-09

  

    蒋家坤,统计学博士,硕士研究生导师,统计与数据科学研究中心副教授。

      Email:  jiakunj@bnu.edu.cn

      研究领域

        函数型数据分析,状态空间模型,门槛模型,非参数与半参数模型

        学习经历

        2020.02-2020.10 宾夕法尼亚大学  博士后

        2018.07-2020.07   清华大学  博士后  

        2016.10-2016.12   香港浸会大学  访问学者  

        2012.09-2018.06   西南财经大学  统计学   博士  

        2008.09-2012.06   滁州学院  数学与应用数学   学士

        代表论文

        1. 蒋家坤,林华珍,蒋靓, Paul S. F. YIP (2016). 门槛回归模型中门槛值和回归参数的估计,《中国科学-数学》,46,409-422.

        2. Shaogao Lv, Jiakun Jiang, Fanyin Zhou, Huazhen Lin and Jian Huang (2018). Estimating high-dimensional additive cox model with time-dependent covariate processes. Scandinavian Journal of Statistics, 45, 900-922.

        3. Huazhen Lin, Jiakun Jiang, BinhuanWang and Paul S. F. YIP (2019). A threshold varying coefficient autoregressive model for analyzing the influence of media reports of suicide on numbers of suicides. Statistica Sinica, 31, 361-390.

        4. Jiakun Jiang, Li Cai and Lijian Yang (2020). Simultaneous confidence band for the difference of regression functions of two samples. Communications in Statistics-Theory and Methods, DOI: 10.1080/03610926.2020.1800039.

        5. Ronghua Luo, Jiakun Jiang, Wei Lan, Chengliang Yan and Yue Ding. Determine the number of factors in large factor models via a multi-step procedure. Communications in Statistics-Theory and Methods, DOI: 10.1080/03610926.2019.1710752

        6. Jiakun Jiang, Yang, W., Schnellinger, E. M., Kimmel, S. E., & Guo, W. (2021). Dynamic logistic state space prediction model for clinical decision making.  Biometrics .

        7. Jiakun Jiang, Lin, H., Zhong, Q., & Li, Y. (2022). Analysis of multivariate non-gaussian functional data: A semiparametric latent process approach.  Journal of Multivariate Analysis ,  189 , 104888.

        8. Jiakun Jiang, Lin, H., Peng, H., Fan, G. Z., & Li, Y. (2022). Cluster analysis with regression of non‐Gaussian functional data on covariates.  Canadian Journal of Statistics ,  50 (1), 221-240.

        9. Yang, W., Jiakun Jiang (co-first author), Schnellinger, E. M., Kimmel, S. E., & Guo, W. (2022). Modified Brier Score for Evaluating Prediction Accuracy for Binary Outcomes. Statistical Methods in Medical Research.

        主持、参与的科研项目

        1. 全国统计科学研究项目“函数型数据的动态预测建模研究与应用”,主持

        2. 国家自然科学青年基金项目“带有相位变差函数型数据的若干主成分分析及应用”,主持

        3. 西南财经大学优秀博士论文建设项目,主持

        4. 国家自然科学基金面上项目“轨道数据的聚类分析”,参与

        5. 国家青年自然科学基金项目“高维近似因子模型框架下的多重检验及其应用”,参与