Seminar: "Models of input dependent covariances between multiple responses", Thursday, November 8th, 2012
Andrew Wilson, Doctoral candidate at University of Cambridge, Cambridge, U.K.
Accounting for input dependent covariances between multiple responses can greatly improve statistical inferences. For example, if we wish to predict the expression level of a gene (response) at a particular time (input), it helps to consider the expression levels of correlated genes, and how these correlations depend on time. Learn more