Speaker： Dr. REN Haojie, Fudan UniversityVenue: Room 204, Building 2, Haina Court, Zijingang CampusAbstract: 

Speaker: Prof. YANG Jian, Rutgers UniversityHost: Prof. YANG Yi, School of Management, Zhejiang UniversityVenue: A523, School of Management, Zijingang CampusAbstract: We are concerned with the stability of a coalitional game, i.e., a transferable-utility cooperative game. For us, the stability of a state should be about the difficulty to leave it once there. Following this guideline, the concept of core can be weakened so that the blocking of changes is limited to only those with multilateral backings. This principle of consensual blocking, as well as the traditional core-defining one of unilateral blocking and one straddling in between, can all be applied to partition-allocation pairs. Each such pair is made up of a partition of the grand coalition and a corresponding allocation vector whose components are efficient and individually rational for the various constituent coalitions of the given partition. Among the resulting stability concepts, two are universal in that any game, no matter how ``poor'' it is, has its fair share of stable solutions. For a game possessing strictly positive values, furthermore, its imputations would have fractional interpretations. These would allow a certain ranking between games, which we deem as in the sense of centripetality, to imply a clearly describable shift in the games' stable solutions. When coalitions' values are built on both random outcomes and a common positively homogeneous reward function characterizing players' enjoyments from their shares, this comparative statics could help explain why aversion to risk often promotes cooperation.Profile of the speaker: Dr. Jian Yang obtained his Ph.D. in Management Science from the University of Texas at Austin.  After working for the Department of Mechanical and Industrial Engineering at New Jersey Institute of Technology, he is now a professor at the Department of Management Science and Information Systems, Rutgers Business School, Rutgers University.  Dr. Yang’s research interests are in combinatorial optimization, logistics, production and inventory control, dynamic pricing, and game theory.  At the present he is particularly interested in the role played by risk and ambiguity in dynamic inventory-price control and game-theoretical settings.

Speaker: Prof. JIANG Dihua, University of MinnesotaVenue: Lecture Hall, East Building 7, Zijingang CampusAbstract: I will discuss my recent work joint with Zhilin Luo and Zhaolin Li on the reformulation of the Godement-Jacquet theory in the framework of Tate thesis and applications.

Speaker: Dr. WANG Shengwen (Queen Mary University of London)Time: 16:00-17:00, Aug.17Venue: 101, Building 2, Haina Court, Zijingang CampusAbstract: We consider the varifolds associated to a phase transition problem whose first variation of Allen-Cahn energy is Lp integrable with respect to the energy measure. We can see that the Dirichlet and potential part of the energy are almost equidistributed. After passing to the phase field limit, one can obtain an integer rectifiable varifold with bounded Lp mean curvature. This is joint work with Huy Nguyen.

Speaker: Prof. Zudi Lu（University of Southampton）Venue: Tencent Meeting ID：196-247-817Time: 15:00, Aug.10Abstract: Dynamic discrete valued time series data exist in many economic applications, but its research is still relatively rare compared with the rich research of continuous-valued time series in semiparametric modelling. In this paper, we propose to explore how to utilise the useful high-dimensional dynamic lagged information for forecasting of time series data with discrete-valued response. Our approach will generalise the existing flexible semiparametric marginal regression model averaging (MARMA) forecasting of Li, Linton and Lu (2015), which has been shown a useful data-driven method, but was designed for nonlinear forecasting of continuous valued time series by a least squares averaging. We have hence suggested a generalised MARMA (GMARMA) procedure under a general time series conditional exponential family of distributions, which flexibly accommodates nonlinear forecasting of discrete-valued response, and further allowing the lagged effects including discrete-valued information for forecasting. A conditional likelihood model averaging method, instead of the least squares, is thus developed for the averaging weights estimation in the GMARMA, under beta-mixing time series data generating process with asymptotic normality established. Furthermore, an adaptively penalised GMARMA (PGMARMA) is suggested to select the important variables for an improved forecasting. The oracle properties of the PGMARMA weights are established as if the true non-zero weights were known. These procedures are further supported by Monte Carlo simulations and empirical applications to forecasting of the FTSE 100 index market moving direction and the UK road casualty data, which are shown to outperform many popular machine learning tools, including the random forest method, etc.Contact person: Prof.ZHANG Rongmao（rmzhang@zju.edu.cn）

Speaker: Prof. Xinwen Zhu (Stanford University)Time: 16:15-17:15, July 27Venue: lecture hall, Building 7, Zijingang CampusAbstract: A theorem of Borel says that any holomorphic map from a smooth complex algebraic variety to a smooth arithmetic variety is automatically an algebraic map. The key ingredient is to show that any holomorphic map from the punctured disc to the arithmetic variety has no essential singularity. I will discuss some work towards a p-adic analogue of this theorem for moduli of abelian varieties. Joint with Abhishek Oswal and Ananth Shankar.

Speaker: Prof. Jonathan L. Sessler (The University of Texas at Austin)Inviter: Prof. LI Hao (Zhejiang University)Venue: C100, Building 5, Haina Court, Zijingang Campus

Speaker: Prof. HAN Xiaolong (California State University, Northridge)Venue: 102, Building 2, Haina Court, Zijingang CampusAbstract: The harmonics on a compact Riemannian manifold are the mathematical functions which describe the natural modes of oscillation. They are described by the eigenfunctions of the Laplacian, whose behaviors are heavily influenced by the global geometry of the manifold. In this talk, we discuss this relation in the study of global harmonic analysis, through two symmetric spaces: compact hyperbolic surfaces (constant negative curvature) and spheres (constant positive curvature). We explain how Laplacian eigenfunctions behave, both similarly and differently, on these two geometries.Contact person: Prof. XI Yakun (yakunxi@zju.edu.cn)

Venue: 210, Building 2, Haina Court, Zijingang CampusSpeaker: Professor Faouzi Triki (University Grenoble Alpes)Abstract: The talk is related to the inverse problem of reconstructing the diffusion and absorption coefficients of the diffusion equation from internal data in photo-acoustic imaging. I will show that the problem is Hölder stable in subregions close to the boundary where the internal information is available. The Hölder exponent converges to a positive constant independent of the subregion as the subregion contracts towards the boundary. I will also present several numerical tests that illustrate the theoretical results.