Bayesian Covariance Estimation with Applications in High-throughput Biology

Neyman Seminar
Feb 6, 2017 4:00pm to 5:00pm
1011 Evans Hall
Happening As Scheduled
Understanding the function of biological molecules requires statistical methods for assessing covariability across multiple dimensions as well as accounting for complex measurement error and missing data. In this talk, I will discuss two models for covariance estimation which have applications in molecular biology. In the first half of the talk, I will describe the role of covariance estimation...
Alexander Franks, University of Washington