41 citations · 112 across the 21 of their papers we have counts for
4 papers · 1 filter
Identifying Causal Effects with the R Package causaleffect
Santtu Tikka, Juha Karvanen
Do-calculus is concerned with estimating the interventional distribution of an action from the observed joint probability distribution of the variables in a given causal structure.…
Enhancing Identification of Causal Effects by Pruning
Santtu Tikka, Juha Karvanen
Causal models communicate our assumptions about causes and effects in real-world phe- nomena. Often the interest lies in the identification of the effect of an action which means d…
Simplifying Probabilistic Expressions in Causal Inference
Santtu Tikka, Juha Karvanen
Obtaining a non-parametric expression for an interventional distribution is one of the most fundamental tasks in causal inference. Such an expression can be obtained for an identif…
Surrogate Outcomes and Transportability
Santtu Tikka, Juha Karvanen
Identification of causal effects is one of the most fundamental tasks of causal inference. We consider an identifiability problem where some experimental and observational data are…