2010
DOI: 10.1016/j.eswa.2009.05.021
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Linking Bayesian networks and PLS path modeling for causal analysis

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Cited by 71 publications
(45 citation statements)
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“…For example, in contrast to LISREL, PLS path modeling is more suitable for real applications. Particularly when models are more complex or the distribution of data is not-normal, the use of this approach would be more appropriate (43). The main advantage of PLS modeling compared to LISREL is that a smaller number of samples are required (44).…”
Section: Methodsmentioning
confidence: 99%
“…For example, in contrast to LISREL, PLS path modeling is more suitable for real applications. Particularly when models are more complex or the distribution of data is not-normal, the use of this approach would be more appropriate (43). The main advantage of PLS modeling compared to LISREL is that a smaller number of samples are required (44).…”
Section: Methodsmentioning
confidence: 99%
“…The BCN has the advantage of having no rigid statistical assumptions. It graphically displays a directed acyclic graph and represents a set of conditional independence constraints among a given number of variables and their related conditional probability distributions (Wu, 2010). These BCNs can handle incomplete data sets and help easily model causal relationships to gain understanding about a problem domain and make predictions in the presence of interventions.…”
Section: Fundamentals Of Bcnsmentioning
confidence: 99%
“…Several search algorithms such as simulated annealing algorithms, genetic algorithms, and Three Augmented Naïve Bayes (TAN) algorithms (Cerquides and Mantaras, 2005) have been developed for this purpose (Wu, 2010;Hruschka and Ebecken, 2007;Baesens et al, 2004;). The knowledge-based approach, on the other hand, uses the causal knowledge of domain experts to construct networks.…”
Section: Fundamentals Of Bcnsmentioning
confidence: 99%
“…Moreover, they also provide good estimates even when some predictors are missing (Nicholson et al 2008, Nadkarni and. They are also more robust when compared to other methods while studying with data that contain noise (Wu 2010).…”
Section: Data and Methodsologymentioning
confidence: 98%