The two faces of correlation

Event Start
Event End
Location
https://kaust.zoom.us/j/95474758108?pwd=WkwrdiszTE1uYTdmR3JRK09LVDErZz09

Abstract

Discussing the concept of correlation and how to interpret it alone (marginally) or within a more complex environment (conditionally). This rather simple observation is the key observation behind a lot of exciting developments and connections in statistics that can be leveraged for improved computations and better motivated statistical models. 

Brief Biography

Dr. Haavard Rue is a Professor of statistics, in Computer, Electrical and Mathematical Science and Engineering Division at KAUST. Professor Rue's research interests lie in computational Bayesian statistics and Bayesian methodology such as priors, sensitivity and robustness.