报告题目: A novel control method for solving high-dimensional Hamiltonian systems through deep neural networks 报告摘要: A novel control method is proposed to solve a high-dimensional stochastic Hamiltonian system with boundary cond...[详细]
报告题目:Optimal Dividend Problem for a Risk Process with Endogenous Regime Switching报告时间:2024.11.20 21:00-22:00报告地点:腾讯会议782-957-226报告人简介:周晓文教授,1988年本科毕业于中山大学,1999年在加州大学Berkeley 分校 获得统...[详细]
报告题目:Optimal Staffing Strategies for Dynamic Queueing Systems with Two- Demand Patterns报告时间:2024.11.20 16:30-17:30报告地点:统计与数据科学学院 106报告人简介:戴洪帅,山东财经大学统计与数学学院教授。2004年本科毕业于曲阜师范大...[详细]
报告题目:Semi-supervised distribution learning摘 要:This study addresses the challenge of distribution estimation and inference in a semi-supervised setting. In contrast to prior research focusing on parameter inference, this work ex...[详细]
报告题目:A distance metric-based uniform subsampling method for nonparametric models摘 要:Taking subset samples from the original data set is an efficient and popular strategy to handle massive data that is too large to be directly mo...[详细]
报告题目:正交表的构造及其应用进展摘 要:正交表在统计学中主要用于各种试验设计问题,这就意味着它们在人类研究的各个领域都非常重要,正交表的构造被称为21世纪极具挑战性的公开问题。实际应用中,还往往需要具有某些性质的正交表。本报告主要介绍由正...[详细]
题目:A Class of Stochastic Control Problems Arising from Relaxed Benchmark Tracking 摘要:This talk discusses stochastic control problems motivated by optimal consumption with wealth benchmark tracking. The benchmark process is model...[详细]
报告题目:Limit theorems for SDEs with irregular drifts报告时间:2024.11.20 15:30-16:30报告地点:统计与数据科学学院 106报告人:鲍建海 报告人简介:鲍建海,天津大学应用数学中心教授、博士生导师。2013年01月获英国斯旺西大学博士学位;2017...[详细]