3 citations · 4 across the 2 of their papers we have counts for
3 papers
Identification in Tree-shaped Linear Structural Causal Models
Benito van der Zander, Marcel Wienöbst, Markus Bläser +1
Linear structural equation models represent direct causal effects as directed edges and confounding factors as bidirected edges. An open problem is to identify the causal parameter…
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs
Marcel Wienöbst, Max Bannach, Maciej Liśkiewicz
Counting and uniform sampling of directed acyclic graphs (DAGs) from a Markov equivalence class are fundamental tasks in graphical causal analysis. In this paper, we show that thes…
Recovering Causal Structures from Low-Order Conditional Independencies
Marcel Wienöbst, Maciej Liśkiewicz
One of the common obstacles for learning causal models from data is that high-order conditional independence (CI) relationships between random variables are difficult to estimate.…