【IEF Seminar 22】A.P. Peng Heng: Variance Estimation for Semiparametric Regression Models by Local Averaging

发布者:唐晶发布时间:2018-01-15浏览次数:1728

EFIT Yue Gu

At 13:30 pm of October 25th, Dr. Peng Heng, associate researcher of the department of Mathematic in the Hong Kong Baptist University Institution of Research and Continuing Education, was invited by the Institute of Economics and Finance (IEF) of Nanjing Audit University to give a seminar called Variance Estimation for Semiparametric Regression Models by Local Averaging.

First of all, Dr. Peng introduced the background of studying the variance estimation for semiparametric regression models to us , which is fundamental for the inference after the model selection and estimation. Based on previous analysis, Dr. Peng summarized three methods to estimate the variance for semiparametric regression model. The mainly proposed method has the advantages of avoiding the estimation of the nonparametric function and reducing the computational cost and can be easily extended to more complex settings. During discussion, we found that different method exhibits different advantages and should be applied to different circumstances. As a result, compared to the method itself, we should pay more attention on how to apply these methods flexibly and how to achieve a balance between efficiency and accuracy.

Teachers and students all took an actively part in this seminar and had a deep impression on the proposed method, which will be a great benefit for our future study.