On association models defined over independence graphs
Wermuth, Nanny ; Cox, David R.
Bernoulli, Tome 4 (1998) no. 1, p. 477-495 / Harvested from Project Euclid
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Conditions on joint distributions are given under which two variables will be conditionally associated whenever an independence graph does not imply a corresponding conditional independence statement. To this end the notions of parametric cancellation, of stable paths and of quasi-linear models are discussed in some detail.
Publié le : 1998-12-14
Classification:  conditional independence,  graphical Markov model,  quasi-linear dependence,  separation criteria,  triangular matrix decomposition 
@article{1173883817,
     author = {Wermuth, Nanny and Cox, David R.},
     title = {On association models defined over independence graphs},
     journal = {Bernoulli},
     volume = {4},
     number = {1},
     year = {1998},
     pages = { 477-495},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1173883817}
}

Wermuth, Nanny; Cox, David R. On association models defined over independence graphs. Bernoulli, Tome 4 (1998) no. 1, pp.  477-495. http://gdmltest.u-ga.fr/item/1173883817/