Abstract
In this chapter, we describe models based on the multivariate normal distribution that are analogous to the loglinear models of the previous section. The best introduction to these models is given by Whittaker (1990), who aptly calls them graphical Gaussian models, although they are perhaps more widely known as covariance selection models, following Dempster (1972).
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© 2000 Springer Science+Business Media New York
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Edwards, D. (2000). Continuous Models. In: Introduction to Graphical Modelling. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0493-0_3
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DOI: https://doi.org/10.1007/978-1-4612-0493-0_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-6787-4
Online ISBN: 978-1-4612-0493-0
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