62d20

Documents about 62d20

• Geodesic Difference-in-Differences#789407arXiv (OAI Expanded)
• Geodesic Difference-in-Differences#793411arXiv (All)
• Stable Causal Estimation with Optimal Transport#1326462arXiv (All)
• Decision-analytical models as causal models#1128622arXiv (All)
• Omitted Variable Bias in Difference-in-Differences Designs#1013982arXiv (All)
• A Unified Approach to Interpretable Causal Root Cause Attribution#796953arXiv (OAI Expanded)
• A Unified Approach to Interpretable Causal Root Cause Attribution#798366arXiv (All)
• Neuro-Causal Factor Analysis#663928arXiv (OAI Expanded)
• Neuro-Causal Factor Analysis#665428arXiv (All)
• Geodesic Synthetic Control Methods for Random Objects and Functional Data#789425arXiv (OAI Expanded)
• Geodesic Synthetic Control Methods for Random Objects and Functional Data#793429arXiv (All)
• Sharp Causal Bounds for Dynamic Treatment Regimes#973976arXiv (All)
• Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation#674132arXiv (OAI Expanded)
• Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation#677329arXiv (All)
• Regression Discontinuity Designs for Functional Data and Random Objects in Geodesic Spaces#789446arXiv (OAI Expanded)
• Regression Discontinuity Designs for Functional Data and Random Objects in Geodesic Spaces#793450arXiv (All)
• Semiparametric Inference for Dynamic Causal Effects from Observational Time Series#1064075arXiv (All)
• Inverse Probability Weighting-based Mediation Analysis for Microbiome Data#1344393arXiv (All)
• Which Covariates to Adjust for? Specification-robust Causal Inference in Observational Studies#1388271arXiv (All)
• Evaluating Treatment Effects using Group Testing with Retesting of Positive Groups#664401arXiv (OAI Expanded)
• Evaluating Treatment Effects using Group Testing with Retesting of Positive Groups#665901arXiv (All)
• Using representation balancing to learn conditional-average dose responses from clustered data#674115arXiv (OAI Expanded)
• Using representation balancing to learn conditional-average dose responses from clustered data#677312arXiv (All)
• WMAP: An R Package for Causal Meta-Analysis by Integrating Multiple Observational Studies#1327210arXiv (All)
• Dirichlet-Tree Allocation Priors for Bayesian Causal Forests#1401980arXiv (All)
• Design-based Estimation and Inference on Quantile Exposure Effect under General Interference#1109460arXiv (OAI Expanded)
• When bad adjustment looks good: what goes wrong in Plasmode 0.1.0 simulations#1050239arXiv (All)
• Optimal Covariate Adjustment beyond the Average Treatment Effect: Treated-Population and Overlap-Weighted Estimands#1083233arXiv (OAI Expanded)
• A Multiverse of Good and Bad Controls: Candidate Causal Graphs for Interpreting Model Robustness Analysis#1122636arXiv (OAI Expanded)
• When Sample-Splitting Choices Matter in TMLE and AIPW: Cross-Fitting, Targeting, and Repetition#1327782arXiv (All)
• A Computationally Feasible Framework for Causal Probabilistic Explanation#927042arXiv (All)
• MARCEDES: Score-based causal discovery under non-Gaussianity with continuous optimization#1105202arXiv (All)
• Optimal study interior partitioning (OSIP): An optimization approach to observational study design under fine balance constraints#1036291arXiv (All)
• A Plasmode Benchmark Can Refute but Cannot Certify: Projection and Regularity in Causal-Inference Simulation#1062087arXiv (All)
• C-Learner: Constrained Learning for Causal Inference#1049573arXiv (All)
• Decomposing Discrimination: Causal Mediation Analysis for AI-Driven Credit Decisions#1069768arXiv (OAI Expanded)
• Three Routes to One Answer: Reconciling AIPW, TMLE, and Double Machine Learning for Applied Researchers#1062044arXiv (All)
• Externalized CPDAG Summaries Improve LLM Causal Deduction#1105629arXiv (All)
• When Reconstruction Is Not Enough: Doubly Robust Counterfactual and Interventional Mediation Analysis with Learned Multimodal Representations#1423012arXiv (All)
• Slaying the Hydra: Interaction-Aware Circuit Discovery in Language Models#1199291arXiv (All)
• A perspective note on likelihood approximation and inference for complex simulation models using a chain of aggregated normalizing flows#1216766arXiv (All)
• Metatheoretical multiverse analysis: Improving the reliability of research with theories-as-data#986963arXiv (All)