Browsing Department of Philosophy by Journals "Journal of Causal Inference"
Now showing items 1-2 of 2
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Evaluating Boolean relationships in Configurational Comparative Methods
(Journal article; Peer reviewed, 2024)Configurational Comparative Methods (CCMs) aim to learn causal structures from datasets by exploiting Boolean sufficiency and necessity relationships. One important challenge for these methods is that such Boolean relationships ... -
Quantifying the quality of configurational causal models
(Journal article; Peer reviewed, 2024)There is a growing number of studies benchmarking the performance of configurational comparative methods (CCMs) of causal data analysis. A core benchmark criterion used in these studies is a dichotomous (i.e., non-quantitative) ...