Where's the why? In search of chains of causes for query events
Suchana Datta, Derek Greene, et al.
AICS 2020
The use of a hypothetical generative model was been suggested for causal analysis of observa- tional data. The very assumption of a particular model is a commitment to a certain set of variables and therefore to a certain set of possible causes. Estimating the joint probability distribution of can be useful for predicting values of variables in view of the observed values of others, but it is not sufficient for inferring causal relationships. The model describes a single observable distribution and cannot a chain of effects of intervention that deviate from the observed distribution.
Suchana Datta, Derek Greene, et al.
AICS 2020
Dmitriy Katz-Rogozhnikov, Karthikeyan Shanmugam, et al.
AISTATS 2019
Abhin Shah, Kartik Ahuja, et al.
ICASSP 2021
Fabiana Fournier, Lior Limonad, et al.
BPM 2024