All Topics (December 3 through February 28) Thursday, December 6 4:00 PM Phase transitions and scaling limits in lattice models (Zhongyang Li - UConn) 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)