A comparative study of algorithms for solving seemingly unrelated regressions models

Foschi, P. and Belsley, D.A. and Kontoghiorghes, Erricos (2003) A comparative study of algorithms for solving seemingly unrelated regressions models. Computational Statistics & Data Analysis 44 (1-2), pp. 3-35. ISSN 0167-9473.

Full text not available from this repository.

Official URL: https://doi.org/10.1016/S0167-9473(03)00028-8

Abstract

The computational efficiency of various algorithms for solving seemingly unrelated regressions (SUR) models is investigated. Some of the algorithms adapt known methods; others are new. The first transforms the SUR model to an ordinary linear model and uses the QR decomposition to solve it. Three others employ the generalized QR decomposition to solve the SUR model formulated as a generalized linear least-squares problem. Strategies to exploit the structure of the matrices involved are developed. The algorithms are reconsidered for solving the SUR model after it has been transformed to one of smaller dimensions.

Metadata

Item Type:	Article
School:	Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
Depositing User:	Sarah Hall
Date Deposited:	11 May 2021 21:44
Last Modified:	09 Aug 2023 12:50
URI:	https://eprints.bbk.ac.uk/id/eprint/44237

Statistics

Archive Staff Only (login required)

Edit/View Item