Autor:	Dawid, Philip
Rok vydání:	2024
Předmět:	Mathematics - Statistics Theory 62A99
Druh dokumentu:	Working Paper
Popis:	This article surveys the variety of ways in which a directed acyclic graph (DAG) can be used to represent a problem of probabilistic causality. For each of these we describe the relevant formal or informal semantics governing that representation. It is suggested that the cleanest such representation is that embodied in an augmented DAG, which contains nodes for non-stochastic intervention indicators in addition to the usual nodes for domain variables. Comment: 15 pages, 11 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2402.09429 Zobrazit plný text záznamu View this record from Arxiv