报告题目:Nonnested model selection based on empirical likelihood报告人:蒋建成报告摘要:In this talk we propose an empirical likelihood ratio (ELR) test for comparing any two supervised learning models, where the competing models may be...[详细]
报告题目: Optimal parameter-transfer learning by semiparametric model averaging报告人:张新雨研究员报告摘要:In this article, we focus on the prediction for a target model by transferring the information of source models. To be flexible...[详细]
题目:Asymptotic Results of Tail Moment and Tail Central Moment for Dependent Risks摘要:Consider a financial or insurance system with a finite number of individual risks described by real-valued random variables. We focus on two kinds o...[详细]
题目:Mean-Variance Portfolio Selection with Stochastic Dominance Constraints摘要:This talk is concerned with a mean-variance portfolio selection problem with first and second order stochastic dominance constraints in complete markets. ...[详细]
报告题目: Effective Model Averaging for Generalized Linear Models in Diverging Model Spaces报告人:方方教授报告摘要:Model averaging has attracted a lot of attentions in the past decades as a powerful forecasting tool in statistics and ...[详细]
报告题目: Large-Scale Mediation Effect Signal Detection报告人:郭旭博士报告摘要:Mediation analysis is commonly adopted to assess the mediation role of DNA methylation in the causal pathway from an exposure to a clinical outcome. With h...[详细]
报告人:唐年胜教授报告时间:7月6日8:30-9:30报告地点:腾讯会议 会议号:231 401 988报告题目:Variational Bayesian Learning for Medical Imaging Data报告摘要:With the recently developed medical imaging technology, brain images are captur...[详细]
报告题目:参数未知下的方差控制图 报告人:郭宝才教授报告时间:6月22日 下午16:00-17:00 报告地点:腾讯会议 968562306主办单位:伟德bv1946官网摘要:监控过程方差很重要,方差变大意味着过程发生恶化,方差变小意味着过程变化。传统...[详细]