Presenters: Dalayan, Dunson, Gilbert, Nesterov and Sept Yuan
Presenters: Del Valle, Gile, Jackman, Little and Raftery
Presenter: Tong Zhang "Convex and nonconvex methods for high dimensional sparse estimation"
Presenter: Hua Zhou, "Genomics and high-dimensional optimization"
Presenter: David Dunson "Bayesian Learning from Big Data"
Presenter: Ann Lee, "Population and familial structure in genetic association studies"
Presenter: Elizabeth Meckes, "Randomness in geometry and topology: finding order in the chaos"
Presenter: Vin de Silva, "Topological and geometrical structures in data analysis"
Simons Public Lecture Series: The Public Health Impact of Air Pollution and Climate Change
Data and Visual Analytics for Knowledge Discovery in High Dimensional Data
Divide-and-Conquer and Statistical Inference for Big Data
Mining Massive Datasets: a (Randomized) Liner Algebraic Approach
Statistical Methods in Astronomy
Data-Based Service Networks: A Research Framework for Asymptotic Inference, Analysis & Control of Service Systems
Comparative Effectiveness Research: An Overview and Some Methodological Challenges
Dr. Adrian Sandu - tutorial lecture on Data Assimilation for Uncertainty Quantification