Calendar

All Topics (January 7 through April 1)

Monday, January 14

• 4:00 PM Fused lasso in graph estimation problems (Oscar Madrid-Padilla - UC Berkeley)

Thursday, January 17

• 4:00 PM Sparse Generalized Eigenvalue Problem and Its Application to Multivariate Statistics (Kean Ming Tan - University of Minnesota)

Friday, January 18

• 4:00 PM Big data, Google, and infectious disease prediction: A statistical perspective (Shihao Yang - Harvard University)

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)