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Clustered Covariate Regression
High covariate dimensionality is increasingly occurrent in model estimation, and existing techniques to address this issue typically require sparsity or discrete heterogeneity of the unobservable parameter vector.
A selective review of sufficient dimension reduction for multivariate response regression
The inverse regression family include pooled marginal estimators, projective resampling estimators, and distance-based estimators.
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