2016 - 2017

"Statistical inference for generative models using the Wasserstein distance," by Espen Bernton "Model selection for state-space models," by Stephane Shao

Project Haiku "Multiple overlapping components" by Robin Gong "Multiple datasets of different sizes" by Shihao Yang

Boston University-Keio University Workshop on Probability & Statistics

Ways to identify principal causal effects in single- vs. multi-site trials

BET on Independence We study the problem of model-free dependence detection. This problem can be difficult even when the marginal distributions are known. We explain this difficulty by showing the impossibility to uniformly consistently distinguish...

Modeling X-ray Binary Populations

Using locality to beat the curse of dimension in particle filters

Sparse Signal Detection with Binary Outcomes In this talk, I will discuss three examples of sparse signal detection problems in the context of binary outcomes. These will be motivated by examples from next generation sequencing association studies...