We present a new method for estimation of multivariate and multilinear regression coefficient matrices based on exploitation of previously unrecognized broken symmetries inherent in the problem formulation. The method is superior to standard methods in the sense that it derives from more accurate statistical constructs.
机构:
East China Univ Technol, Sch Sci, Nanchang, Jiangxi, Peoples R ChinaEast China Univ Technol, Sch Sci, Nanchang, Jiangxi, Peoples R China
Qiu, Shufang
Wang, Zewen
论文数: 0引用数: 0
h-index: 0
机构:
East China Univ Technol, Sch Sci, Nanchang, Jiangxi, Peoples R ChinaEast China Univ Technol, Sch Sci, Nanchang, Jiangxi, Peoples R China
Wang, Zewen
Xie, Anlai
论文数: 0引用数: 0
h-index: 0
机构:
East China Univ Technol, Sch Sci, Nanchang, Jiangxi, Peoples R China
Leping Middle Sch, Leping, Peoples R ChinaEast China Univ Technol, Sch Sci, Nanchang, Jiangxi, Peoples R China
机构:
Inria Bordeaux Sud Ouest, F-33405 Talence, France
Inst Math Bordeaux, F-33405 Talence, FranceInria Bordeaux Sud Ouest, F-33405 Talence, France
Coudret, R.
Girard, S.
论文数: 0引用数: 0
h-index: 0
机构:
Inria Grenoble Rhone Alpes, F-38334 Saint Ismier, France
Lab Jean Kuntzmann, F-38334 Saint Ismier, FranceInria Bordeaux Sud Ouest, F-33405 Talence, France
Girard, S.
Saracco, J.
论文数: 0引用数: 0
h-index: 0
机构:
Inria Bordeaux Sud Ouest, F-33405 Talence, France
Inst Math Bordeaux, F-33405 Talence, France
Inst Polytech Bordeaux, F-33405 Talence, FranceInria Bordeaux Sud Ouest, F-33405 Talence, France