报告题目：Machine learning estimation of the treatment effect parameter under covariate-adaptive randomization

报告人：汪军

研究方向：统计学、计量经济学，处理效应

摘要：Estimation of the treatment effect parameter is one of the crucial problems with clinical trials for two or multiple treatments. The covariate-adaptive randomization methods are often applied to balance treatment assignments across prognostic factors in clinical trials, such as the minimization and stratified permuted blocks method. We propose the machine learning and bayesian machine learning estimator of average treatment effects under covariate-adaptive randomization methods. The proposed machine learning estimator is consistent and asymptotically normally distributed. Simulation studies show that the proposed machine learning and bayesian machine learning estimators are comparable with Ye’s estimator, and it performs better than the Bugni’s estimator and unadjustment estimator when the outcome model is linear models. The proposed estimator has some advantages over the Bugni’s estimator and Ye’s estimator in terms of the standard error and root mean squared error when the outcome model is nonlinear models. The proposed method is robust for the from of outcome model. Finally, we apply the proposed methodology to a data set that studies the treatment effect of insurance provision on tobacco production for 12 tobacco producing counties in Jiangxi Province, China during 2003.

报告题目：Analysis and synthesis of intermittent control systems based on the piecewise Lyapunov function

报告人：杨莹

研究方向：系统分析与综合

摘要：Intermittent control is a discontinuous control strategy with non-zero control width. It can effectively reduce the control cost under the premise of ensuring the stability of the systems. Sampled-data control can bring higher anti-interference and control precision. Combined with the advantages of intermittent control and sampled-data control, intermittent sampled-data control can further reduce the amount of data transmission on the base of reducing the control cost. This report aims to investigate the problems of stability analysis and controller design for intermittent control systems based on the piecewise Lyapunov function method. The corresponding control strategies are established. Some numerical examples are provided to demonstrate the effectiveness of the presented results.

时间：2023年3月16日周四16：00——17：00

地点：数学与统计学院格物楼3103报告厅

欢迎广大师生参加！