461 citations · 717 across the 17 of their papers we have counts for
3 papers · 1 filter
Bayesian tensor regression using the Tucker decomposition for sparse spatial modeling
Daniel Spencer, Rajarshi Guhaniyogi, Russell Shinohara +1
Modeling with multidimensional arrays, or tensors, often presents a problem due to high dimensionality. In addition, these structures typically exhibit inherent sparsity, requiring…
Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Testing Procedure
Simon N. Vandekar, Theodore D. Satterthwaite, Cedric H. Xia +4
Spatial extent inference (SEI) is widely used across neuroimaging modalities to study brain-phenotype associations that inform our understanding of disease. Recent studies have sho…
Faster Family-wise Error Control for Neuroimaging with a Parametric Bootstrap
Simon N. Vandekar, Theodore D. Satterthwaite, Adon Rosen +6
In neuroimaging, hundreds to hundreds of thousands of tests are performed across a set of brain regions or all locations in an image. Recent studies have shown that the most common…