Linear

Exploring Non-Linear Interactions in Multivariate Time Series

Hernando Ombao, Professor, Statistics

Nov 5, 12:00 - 13:00

KAUST

Linear Multivariate extremes Bayesian computational statistics

Advances in imaging technology have given neuroscientists unprecedented access to examine various facets of how the brain “works”. Brain activity is complex. A full understanding of brain activity requires careful study of its multi-scale spatial-temporal organization (from neurons to regions of interest; and from transient events to long-term temporal dynamics). Motivated by these challenges, we will explore some characterizations of dependence between components of a multivariate time series and then apply these to the study of brain functional connectivity.