Fast algorithms for the minimum volume estimator

Selin Ahipaşaoğlu ()

Journal of Global Optimization, 2015, vol. 62, issue 2, 370 pages

Abstract: The minimum volume ellipsoid (MVE) estimator is an important tool in robust regression and outlier detection in statistics. We develop fast and efficient algorithms for the MVE estimator problem and discuss how they can be implemented efficiently. The novelty of our approach stems from the recent developments in the first-order algorithms for solving the related minimum volume enclosing ellipsoid problem. Comparative computational results are provided which demonstrate the strength of the algorithms. Copyright Springer Science+Business Media New York 2015

Keywords: Minimum volume estimator; Outlier detection; Robust regression (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/s10898-014-0233-8

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