A kernel test for three-variable interactions
We introduce kernel nonparametric tests for Lancaster three-variable interaction and for total independence, using embeddings of signed measures into a reproducing kernel Hilbert space. The resulting test statistics are straightforward to compute, and are used in powerful interaction tests, which ar...
| Hauptverfasser: | , , |
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| Format: | Conference item |
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Neural information processing systems foundation
2013
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