A majorization algorithm for constrained correlation matrix approximation
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Publication:847204
DOI10.1016/j.laa.2009.10.025zbMath1183.65009OpenAlexW1999959286MaRDI QIDQ847204
Publication date: 12 February 2010
Published in: Linear Algebra and its Applications (Search for Journal in Brave)
Full work available at URL: https://engagedscholarship.csuohio.edu/enece_facpub/139
Measures of association (correlation, canonical correlation, etc.) (62H20) Applications of statistics in engineering and industry; control charts (62P30) Variational methods applied to problems in thermodynamics and heat transfer (80M30)
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Cites Work
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- Computing the nearest correlation matrix--a problem from finance
- Interest rate models -- theory and practice. With smile, inflation and credit
- Efficient rank reduction of correlation matrices
- Modern multidimensional scaling: theory and applications
- Optimal low-rank approximation to a correlation matrix
- Correlation stress testing for value-at-risk: an unconstrained convex optimization approach
- REDUCED ORDER KALMAN FILTERING WITHOUT MODEL REDUCTION
- An EZI Method to Reduce the Rank of a Correlation Matrix in Financial Modelling
- Rank reduction of correlation matrices by majorization