• Optimizing Consistency and Coverage in Configurational Causal Modeling 

      Baumgartner, Michael Clemens; Ambühl, Mathias (Journal article; Peer reviewed, 2021)
      Consistency and coverage are two core parameters of model fit used by configurational comparative methods (CCMs) of causal inference. Among causal models that perform equally well in other respects (e.g., robustness or ...
    • Robustness and Model Selection in Configurational Causal Modeling 

      Parkkinen, Veli Pekka Kalevi; Baumgartner, Michael Clemens (Journal article; Peer reviewed, 2021)
      In recent years, proponents of configurational comparative methods (CCMs) have advanced various dimensions of robustness as instrumental to model selection. But these robustness considerations have not led to computable ...