mailitics

Tag: unobserved

  • Detecting Unobserved Confounders: A Kernelized Regression Approach

    Detecting Unobserved Confounders: A Kernelized Regression Approach arXiv:2601.00200v1 Announce Type: new Abstract: Detecting unobserved confounders is crucial for reliable causal inference in observational studies. Existing methods require either linearity assumptions or multiple heterogeneous environments, limiting applicability to nonlinear single-environment settings. To bridge this gap, we propose Kernel Regression Confounder Detection (KRCD), a novel method for…

  • Addressing pitfalls in implicit unobserved confounding synthesis using explicit block hierarchical ancestral sampling

    Addressing pitfalls in implicit unobserved confounding synthesis using explicit block hierarchical ancestral sampling arXiv:2503.09194v1 Announce Type: new Abstract: Unbiased data synthesis is crucial for evaluating causal discovery algorithms in the presence of unobserved confounding, given the scarcity of real-world datasets. A common approach, implicit parameterization, encodes unobserved confounding by modifying the off-diagonal entries of the…