Statistical Challenges of Big Brain Network Data

2017/09/27 by Chung, Moo K.
#FOS: Biological sciences #FOS: Computer and information sciences #Methodology (stat.ME) #Neurons and Cognition (q-bio.NC)

paper · doi:10.48550/arxiv.1709.09645

Abstract

We explore the main characteristics of big brain network data that offer unique statistical challenges. The brain networks are biologically expected to be both sparse and hierarchical. Such unique characterizations put specific topological constraints onto statistical approaches and models we can use effectively. We explore the limitations of the current models used in the field and offer alternative approaches and explain new challenges.

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