Beyond Additivity: Causal Discovery in Location-Scale Noise Models with Hidden Variables

Mariyam Khan, Shohei Shimizu, Thong Pham

We study causal discovery from observational data when some variables are hidden and the data-generating process follows a location-scale noise model (LSNM). Existing methods that…