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Welcome back! We hope you’re off to a great start to the spring semester. Join us for the first Professional Development Workshop of the calendar year as we kick off the semester with a panel focused on careers in public service. Careers in State Government: Applying Statistics and Data Science 📅 Date: Monday, January 26, 2026 ⏰ Time: 5:00 – 6:30… |
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Location: 232A Withers Hall, NC State Main Campus Title: Finding Anomalous Cliques in Inhomogeneous Networks using Egonets Presenter: Srijan Sengupta Abstract: Cliques, or fully connected subgraphs, are among the most important and well-studied graph motifs in network science. We consider the problem of finding a statistically anomalous clique hidden in a large network. There are two… |
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Location: 232A Withers Hall, NC State Main Campus Title: Rotated Mean-Field Variational Inference and Iterative Gaussianization Presenter: Sifan Liu Abstract: Mean-field variational inference (MFVI) approximates a target distribution with a product distribution in the standard coordinate system, offering a scalable approach to Bayesian inference but often severely underestimating uncertainty due to neglected dependence. We show… |
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Location: 232A Withers Hall, NC State Main Campus Title: Generalized Bayesian Inference for Dynamic Random Dot Product Graphs Presenter: Josh Loyal Abstract: The random dot product graph is a popular model for network data with extensions that accommodate dynamic (time-varying) networks. However, two significant deficiencies exist in the dynamic random dot product graph literature: (1) no… |
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Join us for the February Professional Development Workshop, featuring a panel discussion with professionals from DLH Corporation. 📅 Date: Monday, February 23, 2026⏰ Time: 5:00 – 6:30 PM📍 Location: 5104 SAS Hall Commons This session will bring together a panel of industry professionals to discuss how statistics and data science are applied in industry settings,… |
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Location: 232A Withers Hall, NC State Main Campus Title: Vertex alignment and changepoint localization in network time series Presenter: Zachary Lubberts Abstract: Existing methodology for changepoint localization in an evolving time series of networks generally relies on accurately prescribed vertex correspondence between network realizations at different times. However, such vertex alignments are often misspecified or… |
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