Choose Year:
TRIADS Speaker Series with Brandon Stewart
Statistics and Data Science Seminar - Adaptive Variational Bayes: Optimality, Computation and Applications
Lizhen Lin, University of Maryland
Introduction to Compute Services
Statistics and Data Science Seminar: Some new results for streaming principal component analysis
Speaker: Purnamrita Sarkar, University of Texas at Austin
Statistics and Data Science Seminar: Expanding ML/AI Capabilities through Electronic Health Record Data
Speaker: Randi Foraker, Institute for Informatics, Washington University in St. Louis
Statistics and Data Science Seminar: Repro Samples Method for Addressing Irregular Inference Problems and for Unraveling Machine Learning Blackboxes
Speaker: Min-ge Xie, Rutgers University
College of Arts & Sciences Major Minor Fair
Statistics and Data Science Seminar: Nonparametric Multiple-Output Center-Outward Quantile Regression
Speaker: Marc Hallin, Universite Libre de Bruxelles
Statistics and Data Science Seminar: Supervised Multivariate Learning with Simultaneous Feature Auto-grouping and Dimension Reduction
Speaker: Yiyuan She, Florida State University
Statistics and Data Science Seminar: Turning the data-integration dial: efficient inference from different data sources
Speaker: Emily Hector, North Carolina State University
Statistics and Data Science Seminar: Risk, Ambiguity, and Misspecification: Decision Theory, Robust Control, and Statistics
Speaker: Lars Hansen, University of Chicago
TRIADS Speaker Series with Heng Ji
Statistics and Data Seminar: Estimating network-mediated causal effects via spectral embeddings
Speaker: Keith Levin, University of Wisconsin—Madison
Statistics and Data Science Seminar: Gaussian Process Computing with Vecchia's Approximation and the GpGp R Package
Speaker: Joe Guinness, Cornell University
Statistics and Data Science Seminar: Harnessing The Collective Wisdom: Fusion Learning Using Decision Sequences From Diverse Sources
Speaker: Trambak Banerjee, University of Kansas
TRIADS Speaker Series with David Lazer
Thesis Defense: Market Making with Latency
Chang Liu, Statistics PhD
Statistics and Data Science Seminar: Data Analytic Identification of Interacting Neural Populations: Ideas and Issues
Speaker: Robert Kass, Carnegie Mellon University
Statistics and Data Science Seminar: Feature Generating Models: Inference in Purely High Dimensions
Speaker: Benjamin Roycraft, University of California Davis
Statistics and Data Science Seminar: An Exact Sampler for Inference after Polyhedral Selection
Speaker: Sifan Liu, Stanford University
Statistics and Data Science Seminar: Single Proxy (Synthetic) Control
Speaker: Chan Park, University of Pennsylvania