For sequential test plans, we propose the weighted expected sample size (WESS) to evaluate the overall performance of sequential test plans on the parameters of interest. Motivated by minimizing the WESS to control the expected sample sizes, we develop three sequential mixture likelihood ratio tests for one-sided composite hypotheses. It is proved that the proposed tests are the asymptotically optimal and have a finite stopping time under some conditions. Simulation results provide the evidence that the proposed tests have some superiority over the SPRT and 2-SPRT.

本报告为综述性报告，比较系统地介绍近些年来，回归分析的一些发展。介绍了参数回归模型、半参数回归模型、非参数回归模型以及它们的推广; 介绍了各类模型的估计方法和检验方法; 介绍了各类模型的变量选择方法和分位数回归; 介绍了它们在各个领域的应用以及各类数据。

I will talk about some recent progress on the 3D incompressible axially symmetric Navier-Stokes Equations.

学 术 报 告报 告 人：N.-P.Skoruppa 教授Max-Planck Institute for Mathematics Bonnand Siegen University报告题目： Computing modular forms： Sudoku for number theorists报告时间：2013年12月12日（周四）下午3:00-4:00报告地点：致远楼102室欢迎广大师生参加

学术报告报告人:江娇副教授(上海海事大学)题目：Delay-inducedBogdanov–Takens bifurcation时间：2013年12月6日(星期五)下午3：50—4：50地点：南一教519欢迎各位参加

In this talk, we will introduce the quantile regression. The quantile regression model is a valuable alternative to the conditional mean models. While mean regression is confined to estimating the mean function of the response, quantile regression offers a systematic strategy for examining how covariates influence the location, scale, and shape of the entire response distribution. In addition, quantile regression does not assume any parametric form on the error distribution, and thus is able to accommodate non-normal errors. We also introduce some work on the variable selection in quantile varying coefficient models.

In this talk, I present some new results of nonnegative tensors. Irreducible tensors, primitive tensors, multistochastic tensors are discussed. Also the spectral radius of nonnegative tensors are studied.

学术报告大波数波动问题的多水平方法许学军研究员中国科学院数学与系统科学研究院博士生导师国家杰出青年基金获得者中国计算数学学会常务理事、秘书长时间：2013年11月26日(星期二)下午2：30地点：数学系（致远楼）107室欢迎教师、研究生及有兴趣者参