Cover Image

On the Impossibility of Specification Testing of Interference Models Based on Exposure Mappings

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Chao, Harshaw, Christopher, Sävje, Fredrik, Wang, Yitan
Format:	Preprint
Published:	2026
Subjects:	Statistics Theory Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A General Design-Based Framework and Estimator for Randomized Experiments
by: Harshaw, Christopher, et al.
Published: (2022)

Optimized variance estimation under interference and complex experimental designs
by: Harshaw, Christopher, et al.
Published: (2021)

Sigmoid-FTRL: Design-Based Adaptive Neyman Allocation for AIPW Estimators
by: Chen, Fangyi, et al.
Published: (2025)

The Conflict Graph Design: Estimating Causal Effects under Arbitrary Neighborhood Interference
by: Kandiros, Vardis, et al.
Published: (2024)

Testing High-Dimensional Mediation Effect with Arbitrary Exposure-Mediator Coefficients
by: Lin, Yinan, et al.
Published: (2023)

Design-Based Inference for Spatial Experiments under Unknown Interference
by: Wang, Ye, et al.
Published: (2020)

Neyman Jackknife: Design-Based Variance Estimation for Causal Inference under Interference
by: Park, Bryan, et al.
Published: (2026)

Confidence Intervals for Linear Models with Arbitrary Noise Contamination
by: Xie, Dong, et al.
Published: (2025)

Testing Elliptical Models in High Dimensions
by: Wang, Siyao, et al.
Published: (2024)

Optimal estimation of the null distribution in large-scale inference
by: Kotekal, Subhodh, et al.
Published: (2024)

Adaptive Robust Confidence Intervals
by: Luo, Yuetian, et al.
Published: (2024)

Sparsity meets correlation in Gaussian sequence model
by: Kotekal, Subhodh, et al.
Published: (2023)

Causal Inference in Longitudinal Data under Unknown Interference
by: Wang, Ye, et al.
Published: (2021)

Improving Causal Inference with Measurement Errors in Exposures and Confounders: A New Method and Its Application to Air Pollution Exposure Assessment and Epidemiology
by: Kim, Honghyok
Published: (2024)

Optimal Design under Interference, Homophily, and Robustness Trade-offs
by: Thiyageswaran, Vydhourie, et al.
Published: (2026)

Coupling Designs for Randomized Experiments with Complex Treatments
by: Cytrynbaum, Max, et al.
Published: (2026)

A Goodness-of-Fit Test for Independent Component Models in High Dimensions
by: Liu, Mingshuo, et al.
Published: (2026)

Specification Tests for the Error--Law in Vector Multiplicative Errors Models
by: Hudecová, Šárka, et al.
Published: (2025)

Adaptive Confidence Intervals in Efron's Gaussian Two-Groups Model
by: Wang, Qiaosen, et al.
Published: (2026)

Robust Confidence Intervals for a Binomial Proportion: Local Optimality and Adaptivity
by: Cho, Minjun, et al.
Published: (2025)

Exact P-values for Network Interference
by: Athey, Susan, et al.
Published: (2015)

Integral-Operator-Based Spectral Algorithms for Goodness-of-Fit Tests
by: Sang, Shiwei, et al.
Published: (2025)

A Ball Divergence Based Measure For Conditional Independence Testing
by: Banerjee, Bilol, et al.
Published: (2024)

Minimax Signal Detection in Sparse Additive Models
by: Kotekal, Subhodh, et al.
Published: (2023)

Model-free Bootstrap and Conformal Prediction in Regression: Conditionality, Conjecture Testing, and Pertinent Prediction Intervals
by: Wang, Yiren, et al.
Published: (2021)

Testing for Single-Population Ancestry in the Admixture Model
by: Dette, Holger, et al.
Published: (2026)

Semiparametric Joint Inference for Sensitivity and Specificity at the Youden-Optimal Cut-Off
by: Liu, Siyan, et al.
Published: (2026)

Foresighted Online Policy Optimization with Interference
by: Xiang, Liner, et al.
Published: (2025)

Ordinal Patterns Based Testing of Spatial Independence in Irregular Spatial Structures
by: Micali, Giorgio, et al.
Published: (2026)

High-Dimensional Covariate-Dependent Discrete Graphical Models and Dynamic Ising Models
by: Roach, Lyndsay, et al.
Published: (2025)

Optimal Spatial Anomaly Detection
by: Wang, Baiyu, et al.
Published: (2025)

Multiple Hypothesis Testing To Estimate The Number Of Communities in Stochastic Block Models
by: Jha, Chetkar, et al.
Published: (2025)

Power Enhancement of Permutation-Augmented Partial-Correlation Tests via Fixed-Row Permutations
by: Wang, Tianyi, et al.
Published: (2025)

Semiparametric Efficiency of Residual Correlation Testing under Gaussian Additive Noise Models
by: Tang, Yin, et al.
Published: (2026)

Testing Partially-Identifiable Causal Queries Using Ternary Tests
by: Bhadane, Sourbh, et al.
Published: (2026)

A Simple and Effective Random Forest Modelling for Nonlinear Time Series Data
by: Zhang, Shihao, et al.
Published: (2025)

Structural Causal Models for Extremes: an Approach Based on Exponent Measures
by: Bai, Shuyang, et al.
Published: (2025)

A Relativity-Based Framework for Statistical Testing Guided by the Independence of Ancillary Statistics: Methodology and Nonparametric Illustrations
by: Vexler, Albert, et al.
Published: (2025)

A Two-Step Projection-Based Goodness-of-Fit Test for Ultra-High Dimensional Sparse Regressions
by: Tan, Falong, et al.
Published: (2024)

Debiased Inference for High-Dimensional Regression Models Based on Profile M-Estimation
by: Wang, Yi, et al.
Published: (2025)