All Topics (January 3 through April 1) Thursday, January 12 4:00 PM Scaling limits of fluctuations in stochastic homogenization (Yu Gu - Stanford University) Thursday, January 19 4:00 PM Data-driven stochastic model reduction (Fei Lu - University of California Berkeley) Friday, January 20 4:00 PM Random discrete structures: Phase transitions, scaling limits, and universality (Sanchayan Sen - McGill University) Monday, January 23 4:00 PM Uniform large deviations principle for a general class of stochastic partial differential equations (Michael Salins - Boston University) Wednesday, January 25 4:00 PM Randomness in convection-diffusion problems (Martina Hofmanova - Technical University Berlin) Thursday, January 26 4:00 PM Competing Brownian particles (Andrey Sarantsev - University of California, Santa Barbara) Thursday, February 16 4:00 PM On Phase Transitions for Spiked Random Matrix and Tensor Models (Afonso Bandeira - NYU) Thursday, February 23 4:00 PM Polynomial convergence rate to nonequilibrium steady-state (Yao Li - UMass Amherst) Thursday, March 2 4:00 PM Stagewise Generalized Estimating Equations with Grouped Variables (Jun Yan - University of Connecticut) Thursday, March 16 4:00 PM On the cross correlations under high dimension (Han Xiao - Rutgers University) Thursday, March 23 4:00 PM ATM: Autoregressive Tail-index Model for Maxima in Financial Time Series (Zhengjun Zhang, University of Wisconsin-Madison) Thursday, March 30 4:00 PM Estimating features of a social network using a sample Tyler H. McCormick - University of Washington)