3 papers
cs.LG2026
Learning Non-Gaussian SEMs with Conditional Risk, and Why the Direction of Recursion Matters
Ujas Shah, Panagiota Birmpa, Rebecca Morrison
Variance-based methods recover a Gaussian linear structural equation model (SEM) with equal or suitably constrained error variances, either by recursively identifying the source no…
cs.LG2025
Conditional Independence Estimates for the Generalized Nonparanormal
Ujas Shah, Manuel Lladser, Rebecca Morrison
For general non-Gaussian distributions, the covariance and precision matrices do not encode the independence structure of the variables, as they do for the multivariate Gaussian. T…
cs.LG2025
Learning local neighborhoods of non-Gaussian graphical models: A measure transport approach
Sarah Liaw, Rebecca Morrison, Youssef Marzouk +1
Identifying the Markov properties or conditional independencies of a collection of random variables is a fundamental task in statistics for modeling and inference. Existing approac…