Unless otherwise noted, all talks are in 120 Hanes Hall, at 3:30 PM on Mondays. Prior to the talk, from 3:00-3:30 PM, the audience is invited for refreshments in the lounge on the 3rd floor of Hanes Hall. If you would like to suggest a speaker, or get on our mailing list, please send an email to Dr. Gabor Pataki or Dr. Vladas Pipiras.
In addition to weekly colloquia and seminars, Hotelling lectures are held to honor the memory of Professor Harold Hotelling, first chairman of the “Department of Mathematical Statistics.”
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Title: Polynomial Optimization with Sums-of-Squares Interpolants Abstract: Sums-of-squares certificates define a hierarchy of relaxations for polynomial optimization problems which are parameterized with the degree of the polynomials in the sums-of-squares representation. Each level of the hierarchy generates a lower bound on the true optimal value, which can be computed in polynomial time via semidefinite programming, and these lower bounds converge to the true optimal value under mild assumptions. However, solving the semidefinite programs that arise from sums-of-squares relaxations poses practical…Find out more »
Title: Co-opetition in Service Clusters with Waiting-Area Entertainment Link to paper: Co-opetition-Service-Clusters Abstract: Unoccupied waiting feels longer than it actually is. Service providers operationalize this psychological principle by offering entertainment options in waiting areas. In a service cluster with a shared waiting space, firms have an opportunity to cooperate in the investment for providing entertainment options while competing on other service dimensions. In this paper, we develop a parsimonious model of co-opetition in a service cluster with shared entertainment options for waiting customers…Find out more »
Title: Philosophy of Science, Principled Statistical Inference, and Data Science Abstract: Statistical reasoning and statistical inference have strong historical connections with philosophy of science. In this talk, the new paradigm of data-driven science is examined through comparison with principled statistical approaches. I will review the merits and shortcomings of principled statistical inference. The talk will feature a case study of post-selection inference, recent progress regarding inference for black box algorithms, and a survey of future challenges. Refreshments will…Find out more »