$CVRT covariate

Latest papers

1. Testing for Peer Effects in Heteroskedastic Fixed-Effects Panels stat.ME · 14 Oct · 2 hits

   …network is unspecified. We propose a quadratic-form test based on the Gram matrix of residualized peer covariates. A key difficulty is that fixed-effects removal and nuisance estimation destroy the centering of a…

2. Learning Who Benefits Most: Multi-Treatment Causal Ranking for Population Health Stratification cs.LG · 14 Oct · 1 hit

   …under capacity constraints. Synthetic experiments and semi-synthetic experiments using real administrative covariates from ASL Benevento evaluate ranking quality, allocation value, robustness, and failure modes. The…

3. Generalized Odds for Ordinal Outcomes: A Causal Inference Framework Adjusting for Covariates stat.ME · 14 Oct · 2 hits

   …potential outcomes and identified it under conditional independence of the potential outcomes given baseline covariates. We developed a model-based estimator using nonproportional cumulative logistic regression and…

4. Which Text Matters: Handling Model Uncertainty in Text-as-Data Regressions, with an Application to Central Bank Communication econ.GN · 14 Oct · 4 hits

   Social scientists routinely convert text into covariates like topic shares, ideal points or sentiment scores, and insert them into statistical models of…

5. Model-Induced Hazard Geometry and Functional Representations in Survival Analysis stat.ME · 14 Oct · 1 hit

   …local completeness. We further distinguish intrinsic model capacity from the variation actually activated by covariates. These results motivate a structured extension of AFT time scaling through a positive-affine…

6. Subdata Selection for Measurement-Constrained Linear Regression under Model Misspecification stat.ME · 14 Oct · 2 hits

   …challenging, making it impractical to measure outcomes for all available units. In such settings, covariates may be available for a large pool of candidates, but responses can only be collected for a small,…

7. Diagnosing Low-Confidence Patient Profiles via Localized Harmful Covariate Shift Detection cs.LG · 13 Oct · 2 hits

   …is then applied within each profile to test whether its degradation is associated with a detectable harmful covariate shift. Across three clinical prediction tasks and three injected subgroup shifts in MIMIC-IV, we…

8. Neural Supervised Clustering for Learning Individualized Treatment Rules with Many Treatments stat.ML · 13 Oct · 1 hit

   …propose nonlinear supervised clustering fusion (NSCF), a neural Q-learning framework with a shared nonlinear covariate representation and low-dimensional treatment embeddings. Pairwise fusion groups treatments with…