36 citations · 109 across the 10 of their papers we have counts for
3 papers · 1 filter
Towards Scalable Bayesian Learning of Causal DAGs
Jussi Viinikka, Antti Hyttinen, Johan Pensar +1
We give methods for Bayesian inference of directed acyclic graphs, DAGs, and the induced causal effects from passively observed complete data. Our methods build on a recent Markov…
Identifying Causal Effects via Context-specific Independence Relations
Santtu Tikka, Antti Hyttinen, Juha Karvanen
Causal effect identification considers whether an interventional probability distribution can be uniquely determined from a passively observed distribution in a given causal struct…
Do-search -- a tool for causal inference and study design with multiple data sources
Juha Karvanen, Santtu Tikka, Antti Hyttinen
Epidemiological evidence is based on multiple data sources including clinical trials, cohort studies, surveys, registries and expert opinions. Merging information from different so…