An algorithm for weighted bilinear regression

DOI10.1080/03610919708813410zbMath0900.65417OpenAlexW1973202020MaRDI QIDQ4369381

Robert T. Ross, Choon-Hwan Lee, Bilal M. Ezzeddine, Choongrak Kim

Publication date: 15 November 1998

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610919708813410

zbMATH Keywords

singular value decompositionsuccessive overrelaxationmissing dataweighted least squaresnonlinear least squaresalternating least squaresbilinear model

Mathematics Subject Classification ID

Linear inference, regression (62J99) Probabilistic methods, stochastic differential equations (65C99)

Cites Work

• Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features
• Multilinear models: applications in spectroscopy. With comments by Jan de Leeuw, Pieter M. Kroonenberg and Donald S. Burdick and a rejoinder by the authors
• Lower Rank Approximation of Matrices by Least Squares with Any Choice of Weights
• Aspects of Nonlinear Block Successive Overrelaxation
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