Dataset Groups Activity Stream BAYESIMP: Uncertainty Quantification for Causal Data Fusion The dataset used in the paper is a combination of two causal graphs, one for prostate cancer study and another for statin dosage study. BibTex: @dataset{Siu_Lun_Chau_and_Jean-François_Ton_and_Javier_González_and_Yee_Whye_Teh_and_Dino_Sejdinovic_2024, abstract = {The dataset used in the paper is a combination of two causal graphs, one for prostate cancer study and another for statin dosage study.}, author = {Siu Lun Chau and Jean-François Ton and Javier González and Yee Whye Teh and Dino Sejdinovic}, doi = {10.57702/78oqo4o0}, institution = {No Organization}, keyword = {'Causal Graphs', 'Data Fusion', 'Uncertainty Estimation'}, month = {dec}, publisher = {TIB}, title = {BAYESIMP: Uncertainty Quantification for Causal Data Fusion}, url = {https://service.tib.eu/ldmservice/dataset/bayesimp--uncertainty-quanti-cation-for-causal-data-fusion}, year = {2024} }
