@article{10.1214/aos/1176349260,
author = {A. P. Dawid and S. L. Lauritzen},
title = {{Hyper Markov Laws in the Statistical Analysis of Decomposable Graphical Models}},
volume = {21},
journal = {The Annals of Statistics},
number = {3},
publisher = {Institute of Mathematical Statistics},
pages = {1272 -- 1317},
keywords = {$\log$-linear models, Bayesian statistics, Collapsibility, Contingency tables, covariance selection, cut, decomposable graphs, Dirichlet distribution, expert systems, graphical models, hyper Dirichlet law, hyper inverse Wishart law, hyper matrix $F$ Law, hyper matrix $t$ law, hyper Multinomial law, hyper Normal law, hyper Wishart law, inverse Wishart distribution, matrix $F$ distribution, matrix $t$ distribution, Multivariate analysis, triangulated graphs, Wishart distribution},
year = {1993},
URL = {https://doi.org/10.1214/aos/1176349260}
}
