62 citations · 243 across the 29 of their papers we have counts for
31 papers
Graph-based causal variance decompositions: When "variance explained" means causation
Olli Saarela, Juha Karvanen
Recursive application of the law of total variance decomposes the marginal variance of an outcome into components attributed to explanatory variables and a residual component. The…
A context-specific causal model for estimating the effect of extended length of overnight stay on traveller's total expenditure
Lauri Valkonen, Juha Karvanen
Tourism significantly affects the economies of many countries. Understanding the causal relationship between the length of overnight stay and traveller's expenditure is crucial for…
Complementary strengths of the Neyman-Rubin and graphical causal frameworks
Tetiana Gorbach, Xavier de Luna, Juha Karvanen +1
This article contributes to the discussion on the relationship between the Neyman-Rubin and the graphical frameworks for causal inference. We present specific examples of data-gene…
Dynamic programming principle in cost-efficient sequential design: optimal update scheduling under cost constraints
Jeongmin Han, Juha Karvanen, Mikko Parviainen
We study sequential cost-efficient design in a situation where each update of covariates involves a fixed time cost typically considerable compared to a single measurement time. Th…
Simulating counterfactuals
Juha Karvanen, Santtu Tikka, Matti Vihola
Counterfactual inference considers a hypothetical intervention in a parallel world that shares some evidence with the factual world. If the evidence specifies a conditional distrib…
Price Optimization Combining Conjoint Data and Purchase History: A Causal Modeling Approach
Lauri Valkonen, Santtu Tikka, Jouni Helske +1
Pricing decisions of companies require an understanding of the causal effect of a price change on the demand. When real-life pricing experiments are infeasible, data-driven decisio…