IVFR extends global Fréchet regression to endogenous covariates via projection of IV-weighted quantile curves onto valid distributions in 2-Wasserstein space, with weak convergence to a Gaussian process and valid multiplier bootstrap for uniform inference.
Geodesic causal inference
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
SphUnc decomposes uncertainty via hyperspherical von Mises-Fisher latents and performs causal identification through structural models on those latents.
citing papers explorer
-
IV regression with distribution-valued outcomes
IVFR extends global Fréchet regression to endogenous covariates via projection of IV-weighted quantile curves onto valid distributions in 2-Wasserstein space, with weak convergence to a Gaussian process and valid multiplier bootstrap for uniform inference.
-
SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry
SphUnc decomposes uncertainty via hyperspherical von Mises-Fisher latents and performs causal identification through structural models on those latents.