## Abstract In previous work by Stoica and Viberg the reducedβrank regression problem is solved in a maximum likelihood sense. The present paper proposes an alternative numerical procedure. The solution is written in terms of the principal angles between subspaces spanned by the data matrices. It i
β¦ LIBER β¦
Maximum likelihood parameter and rank estimation in reduced-rank multivariate linear regressions
β Scribed by Stoica, P.; Viberg, M.
- Book ID
- 119790457
- Publisher
- IEEE
- Year
- 1996
- Tongue
- English
- Weight
- 996 KB
- Volume
- 44
- Category
- Article
- ISSN
- 1053-587X
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