Abstract
In many applications, it is desirable to re-estimate the coefficient parameters of the OLM after it has been updated or downdated by observations or variables. For example, in real time applications updated solutions of a model should be obtained where observations are repeatedly added or deleted. In computationally intensive applications such as model selection, regression diagnostics and cross-validation, efficient and numerically stable algorithms are needed to solve models that have been modified by adding or deleting variables or observations [10, 22, 24, 52, 138, 139].
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© 2000 Springer Science+Business Media New York
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Kontoghiorghes, E.J. (2000). Updating and Downdating The Olm. In: Parallel Algorithms for Linear Models. Advances in Computational Economics, vol 15. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4571-2_3
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DOI: https://doi.org/10.1007/978-1-4615-4571-2_3
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