为促进我校与伦敦政治经济学院之间的交流合作、增强双方的互动联系，同时为给统计学同行提供一个沟通学习的平台，加强我校统计学科的建设，西南财经大学数据科学与商业智能联合实验室将携手伦敦政治经济学院统计系于2019年12月17日举办“2019伦敦政经-西南财大联合统计学论坛”。
一、报告嘉宾
（以姓氏首字母排序）
| 姓名 | 学校 | 研究领域 | 报告题目 |
| 陈雪蓉 | 西南财经大学 | High-dimensional data analysis, Functional data analysis, Quantile regression | Functional response regression analysis |
| Yunxiao Chen | 伦敦政治经济学院 | Statistical analysis and computational algorithms for large-scale item response data, Statistical modeling and computational algorithms for dynamic behavioral data, Sequential design of dynamic systems, with applications to educational assessment and learning | Compound sequential change point detection in multiple data streams |
| Idris Eckley | 兰卡斯特大学 | Wavelets and multiscale methods, Time series: methods and applications, Changepoint analysis, Statistics in business and finance | Change and anomaly detection: an overview of some recent industrially-inspired developments |
| Xinghao Qiao | 伦敦政治经济学院 | Functional data analysis, High dimensional statistics, Time series analysis and Bayesian nonparametrics | Factor modelling for high-dimensional functional time series |
| Richard Samworth | 剑桥大学 | Shape-constrained estimation problems, Data perturbation methods, Nonparametric classification clustering and regression problems, (Conditional) independence testing, Estimation of entropy and other functionals, High-dimensional statistical inference | High-dimensional principal component analysis with heterogeneous missingness |
| Peter XK Song | 密歇根大学 | Copula models, Composite likelihood, Estimating equations, High-dimensional data, Longitudinal data analysis, Missing data problems, Statistical methodology in bioinformatics and genetics, Statistical computing, Time series analysis | Distributed inference in Integrative data analysis |
| Yingcun Xia | 新加坡国立大学 | Measure of nonlinear dependence, Dimension reduction, Financial time series, Environment statistics | Ensemble classification via sufficient dimension reduction in randomly projected subspaces |
| 周岭 | 西南财经大学 | Big data analytics, Data integration, Longitudinal data analysis, Post-selection inference, Survival analysis, Transformation model, Variance-covariance structure | Distributed empirical likelihood approach to integrating homogeneous or heterogeneous data |
二、活动时间
12月17日 上午9:30-12:00 下午14:00-17:20
三、面向对象
主要面向本校师生，欢迎其他高校数学、统计学、数据科学、经济学、计算机科学等相关专业研究生、青年教师、研究员参加。
四、联系电话
论坛相关咨询请联系028-87352207
电话：86-028-87352207
地址：四川省成都市青羊区光华村街55号
邮编：610074
西南财经大学 数据科学与商业智能联合实验室 版权所有
蜀ICP备05006386号
