• Statistics Seminar

    2203 SAS Hall

    Location: 2203 SAS Hall, NC State Main Campus Title: Cracking the Code of the Unknown Virosphere: Detecting the Undetectable. Presenter:  Bonnie Hurwitz (BRC-NCSU) Abstract: Viruses are the most abundant biological entities on Earth and infect all major clades of life, including bacteria, archaea, and eukaryotes. During infection, viruses can influence host biology, evolution, and ecosystem dynamics;…

  • Statistics Seminar

    Withers Hall 232A

    Location: 232A Withers Hall, NC State Main Campus Title: Multivariate spatial models for high-dimensional ecological data Presenter: Jeffrey W. Doser, Ph.D. Abstract: The proliferation of big spatial data from autonomous monitoring systems, national monitoring programs, and citizen science platforms offers never-before-seen opportunities to address pressing natural resource management and conservation questions. Yet, such massive spatial…

  • Statistics Seminar

    Withers Hall 232A

    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…

  • Statistics Seminar

    Withers Hall 232A

    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…

  • Statistics Seminar

    Withers Hall 232A

    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…

  • Statistics Seminar

    Withers Hall 232A

    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…

  • Statistics Seminar

    Withers Hall 232A

    Location: 232A Withers Hall, NC State Main Campus Title:  Presenter: Li Ma Abstract: details to come

  • Statistics Seminar

    Withers Hall 232A

    Location: 232A Withers Hall, NC State Main Campus Title: Building faster and more expressive BART models Presenter: Sameer Deshpande Abstract: Bayesian Additive Regression Trees (BART) is a highly effective nonparametric regression model that approximates unknown functions with a sum of binary regression trees. Most implementations of BART are based on trees that (i) recursively partition…