Two algorithms for fitting constrained marginal models

Details Two algorithms for fitting constrained marginal models Two algorithms for fitting constrained marginal models

2011-10-13

arxiv.org/abs/1110.2894v1

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12 pages

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There are two main algorithms for fitting constrained marginal models to discrete data available in the literature. We show that they are equivalent, each being advantageous in different circumstances, and give some results on their convergence properties. Extensions of the method are provided to allow the inclusion of individual covariates, and for maximization under $L_1$-penalties.

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