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We consider a multivariate distribution with both discrete and continuous marginals, for which the dependence is modeled by a normal copula (sometimes called the NORTA method), and provide an algorithm for fitting the copula in that situation. The fitting is done by matching (approximately) either the rank correlations or the product moment correlations for all pairs of marginals. Numerical illustrations are provided.
Date of Conference: 13-16 Dec. 2009