NMF-RRR tri-factorizes the non-negative regression coefficient matrix as X1ΘX2, soft-clustering both variable blocks and providing a conditional Wald test for the block-correspondence entries, with size control only in identifiable settings.
Annals of Statistics 40(5):2359--2388
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Co-clustering of Response and Covariate Variables by Tri-Factorizing Their Non-negative Regression Coefficient Matrix
NMF-RRR tri-factorizes the non-negative regression coefficient matrix as X1ΘX2, soft-clustering both variable blocks and providing a conditional Wald test for the block-correspondence entries, with size control only in identifiable settings.