The optimality of iterative maximum penalized likelihood algorithms for Ridge regression

Sun Yu

doi:10.1016/0893-9659(94)90007-8

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The optimality of iterative maximum penalized likelihood algorithms for Ridge regression

Sun Yu

Year: 1994 Journal: Applied Mathematics Letters Vol: 7 (4)Pages: 35-39 Publisher: Elsevier BV

DOI: 10.1016/0893-9659(94)90007-8

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Keywords:

Mathematics Ridge Maximum likelihood Algorithm Regression Lasso (programming language) Applied mathematics Mathematical optimization Statistics Computer science

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Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Advanced Statistical Methods and Models

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Statistical Methods and Inference

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The optimality of iterative maximum penalized likelihood algorithms for Ridge regression

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