Abstract. This versatile topic goes back to the inventions of Gauss, Markov, and Gibbs, whose ideas are incorporated in graphical models and regression graphs. Later, the geneticist S. Wright (1923--1934) and the philosopher and computer scientist J. Pearl (1986--1987) developed the tools, but their notation is too complicated to formulate the mathematical background. Here we mainly follow the up-to-date discussion of statisticians S. Lauritzen and N. Wermuth, and try to juxtapose the directed--undirected and discrete--continuous cases.
DOI: 10.14232/actasm-018-331-4
AMS Subject Classification
(1991): 62H99, 68T30
Keyword(s):
graphical models,
log-linear models,
Markov random fields,
covariance selection,
recursive linear regressions
Received September 10, 2018. (Registered under 81/2018.)
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