Title: | Sparse Poisson Regression with Penalized Weighted Score Function |
Speaker: | Dr. Lihu XU, Department of Mathematics, University of Macau, Macau |
Time/Place: | 11:00 - 12:00 FSC1111, Fong Shu Chuen Library, HSH Campus, Hong Kong Baptist University |
Abstract: | We proposed a new penalized method in this paper to solve sparse Poisson Regression problems. Being different from $ell_1$ penalized log-likelihood estimation, our new method can be viewed as a penalized weighted score function method. We show that under mild conditions, our estimator is $ell_1$ consistent and the tuning parameter can be pre-specified, which owns the same good property of the square-root Lasso. The simulations show that our proposed method is much more robust than traditional sparse Poisson models using $ell_1$ penalized log-likelihood method. This is joint work with Jinzhu Jia and Fang Xie (PhD student at University of Macau). |
Title: | Model Reduction for Kinetic Equations |
Speaker: | Prof.LI Ruo, School of Mathematical Sciences, Peking University, China |
Time/Place: | 11:30 - 12:30 WLB211, The Wing Lung Bank Building for Business Studies, Shaw Campus, Hong Kong Baptist University |
Abstract: | In this talk, I will introduce the theory of the moment model reduction of Boltzmann equation we developed in recent years, together with the latest progress. By our exploration, it was found that the hyperbolicity of the reduced moment model for generic kinetic equation can always be achieved, and the method provides us a symmetric hyperbolic system that the local wellposedness of the reduced model is not a problem any more. |
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Learn MoreProf. M. Cheng, Dr. Y. S. Hon, Dr. K. F. Lam, Prof. L. Ling, Dr. T. Tong and Prof. L. Zhu have been awarded research grants by Hong Kong Research Grant Council (RGC) — congratulations!
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