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Introduction to Random Fields
[article]
2020
arXiv
pre-print
General linear models (GLM) are often constructed and used in statistical inference at the voxel level in brain imaging. In this paper, we explore the basics of random fields and the multiple comparisons on the random fields, which are necessary to properly threshold statistical maps for the whole image at specific statistical significance level. The multiple comparisons are crucial in determining overall statistical significance in correlated test statistics over the whole brain. In practice,
arXiv:2007.09660v1
fatcat:bqnwhpifrrezde36mbjb52ttye