Cover Image

Spatially Robust Inference with Predicted and Missing at Random Labels

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Salerno, Stephen, Wu, Zhenke, McCormick, Tyler
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Econometrics Applications Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Some models are useful, but for how long?: A decision theoretic approach to choosing when to refit large-scale prediction models
by: Hoffman, Kentaro, et al.
Published: (2024)

Robustly estimating heterogeneity in factorial data using Rashomon Partitions
by: Venkateswaran, Aparajithan, et al.
Published: (2024)

Conformal Prediction for Nonparametric Instrumental Regression
by: Kato, Masahiro
Published: (2026)

Difference-in-differences Design with Outcomes Missing Not at Random
by: Shin, Sooahn
Published: (2024)

Double Machine Learning at Scale to Predict Causal Impact of Customer Actions
by: More, Sushant, et al.
Published: (2024)

Non-robustness of diffusion estimates on networks with measurement error
by: Chandrasekhar, Arun G., et al.
Published: (2024)

Distributed Causality in the SDG Network: Evidence from Panel VAR and Conditional Independence Analysis
by: Fahim, Md Muhtasim Munif, et al.
Published: (2026)

Improving the Estimation of Lifetime Effects in A/B Testing via Treatment Locality
by: Chen, Shuze, et al.
Published: (2024)

Causal Mediation Analysis with Multiple Mediators: A Simulation Approach
by: Zhou, Jesse, et al.
Published: (2025)

Mining Causality: AI-Assisted Search for Instrumental Variables
by: Han, Sukjin
Published: (2024)

Blind Targeting: Personalization under Third-Party Privacy Constraints
by: Shchetkina, Anya
Published: (2025)

A Unified Framework for Estimation of High-dimensional Conditional Factor Models
by: Chen, Qihui
Published: (2022)

Variance reduction combining pre-experiment and in-experiment data
by: Lin, Zhexiao, et al.
Published: (2024)

Cross-Temporal Forecast Reconciliation at Digital Platforms with Machine Learning
by: Rombouts, Jeroen, et al.
Published: (2024)

Beyond the Average: Distributional Causal Inference under Imperfect Compliance
by: Byambadalai, Undral, et al.
Published: (2025)

Model-Based Inference and Experimental Design for Interference Using Partial Network Data
by: Reeves, Steven Wilkins, et al.
Published: (2024)

Online Distributional Regression
by: Hirsch, Simon, et al.
Published: (2024)

Doubly robust estimation of causal effects for random object outcomes with continuous treatments
by: Bhattacharjee, Satarupa, et al.
Published: (2025)

Predictive Synthesis under Sporadic Participation: Evidence from Inflation Density Surveys
by: Johnson, Matthew C., et al.
Published: (2026)

A Unified Framework for Inference with General Missingness Patterns and Machine Learning Imputation
by: Chen, Xingran, et al.
Published: (2025)

Detecting Spatial Outliers: the Role of the Local Influence Function
by: Arbia, Giuseppe, et al.
Published: (2024)

Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis
by: Fu, Jiawei, et al.
Published: (2025)

Program Evaluation with Remotely Sensed Outcomes
by: Rambachan, Ashesh, et al.
Published: (2024)

Tensor PCA for Factor Models
by: Babii, Andrii, et al.
Published: (2022)

Regression Discontinuity Design with Distribution-Valued Outcomes
by: Van Dijcke, David
Published: (2025)

Binary Choice under Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Algorithmic Fairness
by: Babii, Andrii, et al.
Published: (2020)

Emergent Dynamical Spatial Boundaries in Emergency Medical Services: A Navier-Stokes Framework from First Principles
by: Kikuchi, Tatsuru
Published: (2025)

Bandwidth Selection for Spatial HAC Standard Errors
by: Lehner, Alexander
Published: (2026)

Spectral goodness-of-fit tests for complete and partial network data
by: Lubold, Shane, et al.
Published: (2021)

Scalable Estimation of Multinomial Response Models with Random Consideration Sets
by: Chib, Siddhartha, et al.
Published: (2023)

Gimbal Regression: Orientation-Adaptive Local Linear Regression under Spatial Heterogeneity
by: Otani, Yuichiro
Published: (2026)

Spatially-clustered spatial autoregressive models with application to agricultural market concentration in Europe
by: Cerqueti, Roy, et al.
Published: (2024)

Doubly Robust Inference in Causal Latent Factor Models
by: Abadie, Alberto, et al.
Published: (2024)

Double Robust Bayesian Inference on Average Treatment Effects
by: Breunig, Christoph, et al.
Published: (2022)

Local Projection Inference in High Dimensions
by: Adamek, Robert, et al.
Published: (2022)

LASSO Inference for High Dimensional Predictive Regressions
by: Gao, Zhan, et al.
Published: (2024)

Time-to-Event Estimation with Unreliably Reported Events in Medicare Health Plan Payment
by: Enache, Oana M., et al.
Published: (2026)

The Role of Measured Covariates in Assessing Sensitivity to Unmeasured Confounding
by: Dalal, Abhinandan, et al.
Published: (2026)

Nonparametric Identification and Estimation of Causal Effects on Latent Outcomes
by: Fu, Jiawei, et al.
Published: (2026)

Comparative e-backtests for general risk measures
by: Jiao, Zhanyi, et al.
Published: (2025)