All Topics (January 3 through March 31) Tuesday, January 19 4:00 PM Adjacency Spectral Embedding for Random Graphs (Daniel Sussman -- Harvard University) Thursday, January 21 4:00 PM Leveraging Multiple Outcomes in Matched Observational Studies (Colin B. Fogarty -- University of Pennsylvania) Tuesday, January 26 4:00 PM Fast Bayesian Factor Analysis via Automatic Rotations to Sparsity (Veronika Rockova - University of Pennsylvania) Thursday, January 28 4:00 PM Learning Dynamics of Complex Systems from High-dimensional Data (Sumanta Basu - University of California, Berkeley) Friday, January 29 4:00 PM Designing experiments for new-generation scientific studies: some challenges and potential solutions (Tirthankar Dasgupta -- Harvard University) Thursday, February 4 4:00 PM Statistical approaches for making sense of high-throughput biological data (Christine B. Peterson -- Stanford University) Thursday, March 3 4:00 PM Network driven sampling; a critical threshold for design effects (Karl Rohe -- University of Wisconsin at Madison) Thursday, March 17 4:00 PM Abstract Fourth Moment Theorems (Simon Campese -- University of Rome Tor Vergata) Thursday, March 24 4:00 PM Limit theorems for weighted non-linear transformations of Gaussian processes with singular spectrum (Nikolai N. Leonenko -- Cardiff University, United Kingdom) Tuesday, March 29 11:00 AM Implicit methods for principled estimation with large data sets (Panagiotis Toulis -- Harvard University)