题目： Vertex coloring and induced odd cycles of graphs报告人： 许宝刚教授（南京师范大学）时间： 12月4日周五下午 4:00-5:00pm地点： 宁静楼104欢迎各位参

The past decade has witnessed great progress in the development of nonlinear cointegrating regression. Unlike linear cointegration and nonlinear regression with stationarity where the traditional and classical methods are widely used in practice, estimation and inference theory in nonlinear cointegrating regression produce new mechanisms involving local time, a mixture of normal distributions and stochastic integrals. This talk aims to introduce the machinery of the theoretical developments in nonlinear cointegrating regression, providing up-to-date results on convergence to local time, extended martingale limit theorems and weak convergence to stochastic integrals for econometric applications.

In this paper, we find a novel approach to determine the number of common driving Brownian motions latent in the high dimensional Ito process using high frequency data. The high dimensional Ito process is first approximated locally on a shrinking block by discrete-time approximate factor model. We then estimate the number of common driving Brownian motions by minimizing the penalized aggregated mean-squared residual error. It turns out the estimated number is consistent to the true number. While the local mean-squared residual error on each block converges at the rate of $n^{1/4} /wedge /sqrt{p} $ where $n$ is the sample size and $p$ is the dimensionality, it is interesting that the aggregated mean-squared residual error converges at a higher rate of $/sqrt{n}/wedge p$.

In this talk, we will investigate the dynamics of delay differential equations which arise from modeling the transmission of avian influenza among migratory birds. We use dimension reduction method and asymptotic techniques to approximate the dynamic thresholds of avian influenzas models. This talk is based on a joint work with Jianhong Wu of York University.

Because of atmospheric turbulence, images of objects in outer space acquired via ground-based telescopes are usually blurry. One way to estimate the blurring kernel or point spread function (PSF) is to make use of the aberration of wavefronts received at the telescope, i.e., the phase. However only the low-resolution wavefront gradients can be collected by wavefront sensors. In this talk, I will discuss how to use regularization methods to reconstruct high-resolution phase gradients and then use them to recover the phase and the PSF in high accuracy. I will talk about how the related application of high-resolution image reconstruction.

介绍香港中文大学硕士(博士)研究生招生和奖学金政策， 及香港政府的奖学金信息，有志于申请香港各大学及国外硕士(博士)研究生的同学都可以前来交流。 欢迎广大师生参加！

生物数学最新进展学术研讨会Workshop on Recent Advances in Mathematical Biology2015年11月20--22日, 必赢76net线路为了交流生物数学领域的最新研究成果和学术发展动态，促进学术交流与合作，经协商决定在必赢76net线路数学系举行为期三天（11月20-22，其中 20号报到）的生物数学最新进展研讨会。围绕流行病学、生态学、病毒动力学、生物医学等领域的实际问题，深入探讨动力系统最新研究成果及其在生物数学理论研究中的重要作用。研讨会...

学 术 报 告报告人：李万同 教授(兰州大学)题目：Some Aspects of Nonlocal Dispersal Eqautions时间： 11月18日（星期三），下午3:00-4:00地点：数学系致远楼102欢迎各位参加