Dataset Groups Activity Stream Bayesian causal inference via probabilistic program synthesis The dataset used in the paper is a set of probabilistic programs that generate, edit, and interpret the source code of causal models. BibTex: @dataset{Sam_Witty_and_David_Jensen_and_Alexander_Lew_and_Vikash_Mansinghka_2024, abstract = {The dataset used in the paper is a set of probabilistic programs that generate, edit, and interpret the source code of causal models.}, author = {Sam Witty and David Jensen and Alexander Lew and Vikash Mansinghka}, doi = {10.57702/ik934q0m}, institution = {No Organization}, keyword = {'Bayesian Synthesis', 'Causal Inference', 'Probabilistic Programming'}, month = {dec}, publisher = {TIB}, title = {Bayesian causal inference via probabilistic program synthesis}, url = {https://service.tib.eu/ldmservice/dataset/bayesian-causal-inference-via-probabilistic-program-synthesis}, year = {2024} }
