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• W4248093744 abstract "Bayesian Networks or Bayes Nets (BNs) are a general-purpose computational and statistical framework. BNs allow modeling a broad range of phenomena by reasoning about collected evidence and by updating beliefs in light of new data. In the context of supporting assessment, BNs are interesting because they align with the perspective of evidence-centered assessment design. In this chapter, we discuss how BNs can be used to formalize substantively grounded reasoning processes, we describe the statistical formalism of BNs through some core equations, we illustrate the flexibility of BNs by providing various extensions in simple graphical representations, and we provide examples for modeling cognition across educational, psychological, and linguistic contexts." @default.
• W4248093744 created "2022-05-12" @default.
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• W4248093744 date "2016-11-26" @default.
• W4248093744 modified "2023-10-16" @default.
• W4248093744 title "Bayesian Networks" @default.
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• W4248093744 doi "https://doi.org/10.1002/9781118956588.ch14" @default.
• W4248093744 hasPublicationYear "2016" @default.
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