Stochastic nets and Bayesian regularization
Monday, January 06, 2020
3:30 pm - 4:30 pm
Joshua Bon, Queensland University of Technology & ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS)
'Statistics 101' for Network Data Objects
Friday, January 17, 2020
3:30 pm - 4:30 pm
Eric Kolaczyk, Boston University
Latent variable models: from spectral methods to non-convex optimization
Wednesday, January 22, 2020
3:30 pm - 4:30 pm
Kaizheng Wang, Princeton
Cancelled-Handling Sampling and Selection Bias in Association Studies Embedded in Electronic Health Records
Friday, January 24, 2020
3:30 pm - 4:30 pm
Bhramar Mukherjee, University of Michigan
Testing high-dimensional linear hypotheses through spectral shrinkage
Friday, January 31, 2020
3:30 pm - 4:30 pm
Debashis Paul, University of California, Davis
Statistical and computational perspectives on latent variable models
Wednesday, February 05, 2020
3:30 pm - 4:30 pm
Nhat Ho, Berkeley
Geospatial Technologies for Ride-Hailing and Emergency Vehicle Fleets
Friday, February 07, 2020
3:30 pm - 4:30 pm
Dawn Woodard, Director of Data Science (Maps, Forecasting, and Experimentation),Uber
Towards seamless carbon cycle prediction: from data assimilation to emergent constraints
Friday, February 14, 2020
3:30 pm - 4:30 pm
Kevin Bowman, JPL Science, NASA
Probably Approximately Correct Causal Discovery
Friday, February 21, 2020
3:30 pm - 4:30 pm
David Page, Department of Biostatistics and Bioinformatics, Duke University School of Medicine
Bayes from Moments
Friday, February 28, 2020
3:30 pm - 4:30 pm
Siddhartha Chib, Washington University, St. Louis
Long Nguyen, Univeristy of Michigan
Friday, March 06, 2020
3:30 pm - 4:30 pm
Long Nguyen, Univeristy of Michigan
Bayesian Uncertainty
Friday, April 10, 2020
3:30 pm - 4:30 pm
Stephen Walker, University of Texas-Austin
Rebecca Hubbard, Perelman School of Medicine, University of Pennsylvania
Friday, April 24, 2020
3:30 pm - 4:30 pm
Rebecca Hubbard, Perelman School of Medicine, University of Pennsylvania
