Bread prices and sea levels: why probabilistic causal models need to be monotonic
Sign Up to like & getrecommendations! Published in 2024 at "Philosophical Studies"
DOI: 10.1007/s11098-024-02112-y
Abstract: A key challenge for probabilistic causal models is to distinguish non-causal probabilistic dependencies from true causal relations. To accomplish this task, causal models are usually required to satisfy several constraints. Two prominent constraints are the… read more here.
Keywords: causal models; condition; bread prices; sea ... See more keywords
The AXIOM approach for probabilistic and causal modeling with expert elicited inputs
Sign Up to like & getrecommendations! Published in 2019 at "Technological Forecasting and Social Change"
DOI: 10.1016/j.techfore.2018.10.006
Abstract: Expert informants can be used as the principal information source in the modeling of socio-techno-economic systems or problems to support planning, foresight and decision-making. Such modeling is theory-driven, grounded in expert judgment and understanding, and… read more here.
Keywords: probabilistic causal; causal modeling; expert; expert elicited ... See more keywords