A hybrid method of the sequential Monte Carlo and the Edgeworth expansion for computation of very small p-values in permutation tests:
Abstract
Permutation tests are very useful when parametric assumptions are violated or distributions of test statistics are mathematically intractable. The major advantage of permutation tests is that the procedure is so general that it is applicable to most test statistics. The computational expense is, however, impractical in high-dimensional settings such as genomewide association studies. This study provides a comprehensive review of existing methods...
Paper Details
Title
A hybrid method of the sequential Monte Carlo and the Edgeworth expansion for computation of very small p-values in permutation tests:
Published Date
Oct 1, 2019
Volume
28
Pages
2937 - 2951
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