State variable effects in graphical event models
Debarun Bhattacharjya, Dharmashankar Subramanian, et al.
IJCAI 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.
Debarun Bhattacharjya, Dharmashankar Subramanian, et al.
IJCAI 2020
Pooja Aggarwal, Seema Nagar, et al.
CLOUD 2021
Debarun Bhattacharjya, Tian Gao, et al.
IJCAI 2020
Piero Orderique, Wei Sun, et al.
AAAI 2025