All Topics (January 23 through April 1) Thursday, January 24 4:00 PM Higher Order Asymptotics for Large Deviations (Pratima Hebbar - University of Maryland) Thursday, January 31 4:00 PM Scalable, reliable Bayesian inference via approximate likelihoods and random features (Jonathan Huggins - Harvard University) Tuesday, February 5 4:30 PM Total Variation Regularized Fréchet Regression and Its Application to Change-Point Modeling for Metric-Space Valued Data (Zhenhua Lin-UC Davis) Thursday, February 7 4:30 PM Population Dynamics with Immigration (Dan Han - UNC Charlotte) Friday, February 8 4:00 PM Smoothing Spline Semiparametric Density Models (Joy Yu - UMass Amherst) Thursday, February 21 4:00 PM A New SVD Approach to Optimal Topic Estimation (Tracy Ke - Harvard University) Thursday, February 28 4:00 PM Mathematics of Crime (Andrea Bertozzi - UCLA) Thursday, March 7 4:00 PM Stochastic persistence and extinction (Alex Hening - Tufts) Thursday, March 21 4:00 PM Lagrangian chaos and scalar mixing in stochastic fluid mechanics (Sam Punshon-Smith -- Brown)