Asymptotic theory for maximum likelihood estimates in reduced-rank multivariate generalized linear models
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Reduced-rank regression is a dimensionality reduction method with many applications. The asymptotic theory for reduced rank estimators of parameter matrices in multivariate linear models has been studied extensively. In contrast, few theoretical results are av... ...