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- W4289761835 abstract "The permutation test is known as the exact test procedure in statistics. However, often it is not exact in practice and only an approximate method since only a small fraction of every possible permutation is generated. Even for a small sample size, it often requires to generate tens of thousands permutations, which can be a serious computational bottleneck. In this paper, we propose a novel combinatorial inference procedure that enumerates all possible permutations combinatorially without any resampling. The proposed method is validated against the standard permutation test in simulation studies with the ground truth. The method is further applied in twin DTI study in determining the genetic contribution of the minimum spanning tree of the structural brain connectivity." @default.
- W4289761835 created "2022-08-04" @default.
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- W4289761835 date "2018-07-08" @default.
- W4289761835 modified "2023-10-16" @default.
- W4289761835 title "Exact Combinatorial Inference for Brain Images" @default.
- W4289761835 doi "https://doi.org/10.48550/arxiv.1807.02885" @default.
- W4289761835 hasPublicationYear "2018" @default.
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