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Department of Statistics, UCLA
University of California, Los Angeles
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Quadratic and Cubic Majorization
Jan de Leeuw, Department of Statistics, UCLA

Download the Paper (401 K, PDF file) - March 23, 2006 Tell a colleague about it.
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ABSTRACT:
Majorization algorithms generalize the EM algorithm. In this paper we discuss and compare various quadratic and cubic majorization methods, and apply them to logistic regression.

SUGGESTED CITATION:
Jan de Leeuw, "Quadratic and Cubic Majorization" (March 23, 2006). Department of Statistics, UCLA. Department of Statistics Papers. Paper 2006032301.
http://repositories.cdlib.org/uclastat/papers/2006032301

 
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