Oct
28
Lei Wang
Event Topic: Computational Mathematics & Statistics
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Oct
21
Huairui Zhao
Event Topic: Computational Mathematics & Statistics
Oct
18
Multifractal and Gaussian Fractional-Sum-Difference Models for Internet Traffic
SpeakerBowei XiPurdue Universityhttp://www.stat.purdue.edu/~xbw/ Description A multifractal fractional sum-difference model (MFSD) is a monotone transformation of a Gaussian fractional sum-difference...
Oct
14
Missing Data in Practice with Structural Equation Models
Description When using survey data, researchers must evaluate how to effectively handle missing data. For social survey data, full information maximum likelihood methods are often implemented when the...
Oct
13
Slow Acceleration and De-acceleration through a Hopf Bifurcation with Application to Neuronal and Chemical Systems
SpeakerSteve BaerArizona State Universityhttps://webapp4.asu.edu/directory/person/92954 Description From the periodicity of regional climate change to sustained oscillations in living cells, the...
Oct
5
Designs for Cross-Validation and Stochastic Optimization
Speaker Peter Z.G. Qian University of Wisconsin-Madison http://www.stat.wisc.edu/~zhiguang/ Description Cross-validation and stochastic optimization (i.e., optimization involving integrals) are...
Oct
4
A Non-Stiff Boundary Integral Method for 3D Porous Media Flow with Surface Tension
SpeakerMichael SiegelNew Jersey Institute of Technologyhttp://math.njit.edu/people/siegel.php Description An efficient, non-stiff boundary integral method for 3D porous media flow with surface tension...
Sep
29
Spline Spaces on TR-Meshes with Hanging Vertices
Speaker Larry Schumaker Vanderbilt University http://www.math.vanderbilt.edu/~schumake/ Description Piecewise polynomial spline spaces defined on mixed meshes consisting of triangles and rectangles...
Sep
27
Sharp Two-Sided Estimates on the Heat Kernels and Green Functions of Subordinate Brownian Motions in Smooth Domains
SpeakerRenming SongUniversity of Illinois - Urbana-Champaignhttp://www.math.uiuc.edu/~rsong/ Description A subordinate Brownian motion is a L'evy process which can obtained by replacing the time of...
Sep
23
Learning Solution of Stochastic Partial Differential Equations (A Continuation)
Description The talk will be firstly introduced J. Warner and S. Koutsourelakis's recent paper of Learning Solution to Multiscale Elliptic Problems with Gaussian Process Models. The basic ideas of...