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Multilevel Monte Carlo Metamodeling
Event Topic: Computational Mathematics & Statistics
Hydra Number of Graphs
Speaker Despina Stasi IIT Applied Math http://www.personal.psu.edu/~users/d/u/dus33/ Description In this talk we define and discuss the hydra number, a graph parameter arising from an optimization...
What Do Sudoku and Turbulence Have in Common?
SpeakerZoltan ToroczkaiPhysics Department;University of Notre Damehttp://obelix.phys.nd.edu/~toro/ Description The mathematical structure of many number puzzles such as Sudoku is akin to hard...
Dynamic Conic Finance
Systemic Risk Description Tao Chen Title: Dynamic Conic Finance Mr. Tao Chen will preset the application of g-expectation to dynamic conic finance. Yu-Sin Chang Title: Systemic Risk Ms. Yu-Sin Chang...
Graphs with χ = Δ have Big Cliques
Speaker Dan Cranston Virginia Commonwealth University http://www.people.vcu.edu/~dcranston/ Description Let G be a graph with maximum degree Δ ≥3. Brooks' Theorem says that if G has chromatic number Δ...
Introduction to hypothesis testing for contingency tables
Description Introduction to hypothesis testing for contingency tables. (Based on the material from sections 1.1 and 1.2 from ``Lectures on Algebraic Statistics"; book available electronically through...
Hypothesis testing for stochastic PDEs driven by additive noise. PART 2
Event Topic: Computational Mathematics & Statistics
Active Learning: Past, Present, and Future
SpeakerMustafa BilgicDepartment of Computer Science;Illinois Institute of Technologyhttp://www.cs.iit.edu/~mbilgic/ Description A fundamental task of machine learning is prediction, where a model is...