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February 2018

STOR Colloquium: Rick Kelly, Marsh & McLennan Agency, LLC

February 28, 2018 @ 2:30 pm - 3:30 pm

STOR Colloquium Wednesday, February 28th, 2018 120 Hanes Hall 3:30pm Rick Kelly FSA Division Manager, Marsh & McLennan Agency, LLC So you think you want to be an actuary? The actuarial profession is often promoted as a great career, but what does an actuarial analyst actually do?  Led by the actuarial leadership of a national consulting firm, this course will introduce students to the healthcare industry and provide hands-on experience with key actuarial and analytical concepts that apply across the…

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March 2018

STOR Colloquium: Terry Soo, University of Kansas

March 19, 2018 @ 3:30 pm - 4:30 pm

The Department of Statistics and Operations Research The University of North Carolina at Chapel Hill     STOR Colloquium Monday, March 19th, 2018 120 Hanes Hall 3:30pm Terry Soo University of Kansas   ISOMORPHISMS IN PROBABILITY AND ERGODIC THEORY   Two measure-preserving systems are isomorphic if there exists a measure-preserving bijection between them that respects the dynamics of the systems. Kolmogorov (1958) showed that Shannon entropy is an isomorphism invariant for independent and identically distributed systems, and Ornstein (1970) showed…

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April 2018

STOR Colloquium: Louigi Addario-Berry, McGill University

April 30, 2018 @ 3:30 pm - 4:30 pm

Louigi Addario-Berry McGill University   Assumptionless bounds for Galton-Watson trees and random combinatorial trees.   Let T be any Galton-Watson tree. Write vol(T) for the volume of T (the number of nodes), ht(T) for the height of T (the greatest distance of any node from the root) and wid(T) for the width of T (the greatest number of nodes at any level). We study the relation between vol(T), ht(T) and wid(T).   In the case when the offspring distribution p…

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August 2018

STOR Colloquium: Richard Smith, UNC-CH

August 27, 2018 @ 3:30 pm - 4:30 pm

The Department of Statistics and Operations Research The University of North Carolina at Chapel Hill     STOR Colloquium Monday, August 27th, 2018 120 Hanes Hall 3:30pm Richard Smith University of North Carolina-Chapel Hill The First Anniversary of Hurricane Harvey   This weekend marks exactly one year since Hurricane Harvey devastated much of the Caribbean and then dumped record levels of rainfall on the city of Houston and its environs. This event also stimulated much scientific work focused on two…

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September 2018

STOR Colloquium: Tingting Zhang, University of Virginia

September 26, 2018 @ 3:30 pm - 4:30 pm

Tingting Zhang University of Virginia A Bayesian Stochastic-Blockmodel-based Approach for Mapping Epileptic Brain Networks   The human brain is a dynamic system consisting of many consistently interacting regions. The brain regions and the influences exerted by each region over another, called directional connectivity, form a directional network. We study normal and abnormal directional brain networks of epileptic patients using their intracranial EEG (iEEG) data, which are multivariate time series recordings of many small brain regions. We propose a high-dimensional state-space…

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October 2018

STOR Colloquium: Vinayak Deshpande, UNC Kenan Flagler

October 1, 2018 @ 3:30 pm - 4:30 pm

Vinayak Deshpande Kenan Flagler Business School, University of North Carolina at Chapel Hill   Data Driven Research: Understanding and Improving Airline Flight Schedules using BTS data   The last decade has seen an explosion of operational data that is now available to researchers. In this talk, I will share my experience in conducting research with large datasets made publicly available by the Bureau of Transportation Statistics (BTS). These data sets include flight schedule data, FAA operations and performance data, DOT’s…

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STOR Colloquium: Rong Ge, Duke University

October 8, 2018 @ 3:30 pm - 4:30 pm

Rong Ge Duke University   Optimization Landscape for Matrix Completion Matrix completion is a popular approach for recommendation systems. In theory, it can be solved using complicated convex relaxations, while in practice even simple algorithms such as stochastic gradient descent can always converge to the optimal solution. In this talk we will see some new results on the optimization landscape for the natural non-convex objective of matrix completion. In particular, we will show that although the natural objective is non-convex…

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STOR Colloquium: Cynthia Rudin, Duke

October 15, 2018 @ 3:30 pm - 4:30 pm

Cynthia Rudin Duke University   New Algorithms for Interpretable Machine Learning in High Stakes Decisions   With widespread use of machine learning, there have been serious societal consequences from using black box models for high-stakes decisions, including flawed models for medical imaging, and poor bail and parole decisions in criminal justice. Explanations for black box models are not reliable, and can be misleading. If we use interpretable models, they come with their own explanations, which are faithful to what the…

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STOR Colloquium: Robert Lund, Clemson University

October 22, 2018 @ 3:30 pm - 4:30 pm

STOR Colloquium Robert Lund Department of Mathematical Sciences Clemson University Multiple Breakpoint Detection: Mixing Documented and Undocumented Changepoints |This talk presents methods to estimate the number of changepoint time(s) and their locations in time-ordered data sequences when prior information is known about some of the changepoint times.  A Bayesian version of a penalized likelihood objective function is developed from minimum description length (MDL) information theory principles.  Optimizing the objective function yields estimates of the changepoint number(s) and location time(s).  Our…

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November 2018

STOR Colloquium: Sven Leyffer, Argonne National Laboratory

November 5, 2018 @ 2:30 pm - 3:30 pm

Mixed-Integer PDE-Constrained Optimization   Many complex applications can be formulated as optimization problems constrained by partial differential equations (PDEs) with integer decision variables. This new class of problems, called mixed-integer PDE-constrained optimization (MIPDECO), must overcome the combinatorial challenge of integer decision variables combined with the numerical and computational complexity of PDE-constrained optimization.  Examples of MIPDECOs include the remediation of contaminated sites and the maximization of oil recovery; the design of next-generation solar cells; the layout design of wind-farms; the design and control of gas networks; disaster recovery; and topology…

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