Computing all roots of the likelihood equations of seemingly unrelated regressions

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Computing all roots of the likelihood equations of seemingly unrelated regressions

Seemingly unrelated regressions are statistical regression models based on the Gaussian distribution. They are popular in econometrics but also arise in graphical modeling of multivariate dependencies. In maximum likelihood estimation, the parameters of the model are estimated by maximizing the likelihood function, which maps the parameters to the likelihood of observing the given data. By tran...

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ژورنال

عنوان ژورنال: Journal of Symbolic Computation

سال: 2006

ISSN: 0747-7171

DOI: 10.1016/j.jsc.2005.04.005