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• W2897869064 abstract "We study Bayesian networks based on max-linear structural equations as introduced in Gissibl and Kluppelberg [16] and provide a summary of their independence properties. In particular we emphasize that distributions for such networks are generally not faithful to the independence model determined by their associated directed acyclic graph. In addition, we consider some of the basic issues of estimation and discuss generalized maximum likelihood estimation of the coefficients, using the concept of a generalized likelihood ratio for non-dominated families as introduced by Kiefer and Wolfowitz [21]. Finally we argue that the structure of a minimal network asymptotically can be identified completely from observational data." @default.
• W2897869064 created "2018-10-26" @default.
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• W2897869064 date "2019-01-13" @default.
• W2897869064 modified "2023-09-27" @default.
• W2897869064 title "Bayesian Networks for Max-linear Models" @default.
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