Measuring Strength of Joint Causal Effects
In the study of causality, we often seek not only to detect the presence of cause-effect relationships, but also to characterize how multiple causes combine to produce an effect. When the response to a change in one of the causes depends on the state
Authors
- Petar M. Djurić (ORCID: https://orcid.org/0000-0001-7791-3199)
- Guanchao Feng (ORCID: https://orcid.org/0000-0001-6021-0243)
- Kurt Butler (ORCID: https://orcid.org/0000-0002-1520-4909)
Institutions
- Stony Brook University (US)
Publication Details
- Published
- 2025-09-15
- DOI
- https://doi.org/10.36227/techrxiv.175795484.47009251/v1
- Primary Topic
- Bayesian Modeling and Causal Inference
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- U.S. Department of Education