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Multivariate extremes
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.
