Causal Inference Under Network Interference
Fuente:
arXiv
Saved in:
| Main Authors: | Bhadra, Subhankar, Schweinberger, Michael |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A regression framework for studying relationships among attributes under network interference
by: Fritz, Cornelius, et al.
Published: (2024)
by: Fritz, Cornelius, et al.
Published: (2024)
Detecting and Localizing Anomalous Cliques in Inhomogeneous Networks using Egonets
by: Bhadra, Subhankar, et al.
Published: (2018)
by: Bhadra, Subhankar, et al.
Published: (2018)
Degree of Interference: A General Framework For Causal Inference Under Interference
by: Ohnishi, Yuki, et al.
Published: (2022)
by: Ohnishi, Yuki, et al.
Published: (2022)
A Sensitivity Analysis Framework for Causal Inference Under Interference
by: Ortyashov, Matvey, et al.
Published: (2025)
by: Ortyashov, Matvey, et al.
Published: (2025)
A Unified Framework for Community Detection and Model Selection in Blockmodels
by: Bhadra, Subhankar, et al.
Published: (2025)
by: Bhadra, Subhankar, et al.
Published: (2025)
Graph Neural Networks for Causal Inference Under Network Confounding
by: Leung, Michael P., et al.
Published: (2022)
by: Leung, Michael P., et al.
Published: (2022)
Causal Inference under Network Interference Using a Mixture of Randomized Experiments
by: Jiang, Yiming, et al.
Published: (2023)
by: Jiang, Yiming, et al.
Published: (2023)
Scalable Sample-to-Population Estimation of Hyperbolic Space Models for Hypergraphs
by: Fritz, Cornelius, et al.
Published: (2025)
by: Fritz, Cornelius, et al.
Published: (2025)
Scalable community detection in massive networks via predictive assignment
by: Bhadra, Subhankar, et al.
Published: (2025)
by: Bhadra, Subhankar, et al.
Published: (2025)
Causal Inference in Longitudinal Data under Unknown Interference
by: Wang, Ye, et al.
Published: (2021)
by: Wang, Ye, et al.
Published: (2021)
Causal Inference under Interference: Regression Adjustment and Optimality
by: Fan, Xinyuan, et al.
Published: (2025)
by: Fan, Xinyuan, et al.
Published: (2025)
The Local Approach to Causal Inference under Network Interference
by: Auerbach, Eric, et al.
Published: (2021)
by: Auerbach, Eric, et al.
Published: (2021)
Difference-in-Differences Under Network Interference
by: Sun, Kuan, et al.
Published: (2025)
by: Sun, Kuan, et al.
Published: (2025)
Nonparametric Causal Survival Analysis with Clustered Interference
by: Lee, Chanhwa, et al.
Published: (2024)
by: Lee, Chanhwa, et al.
Published: (2024)
Individualized Causal Effects under Network Interference with Combinatorial Treatments
by: Lu, Yunping, et al.
Published: (2026)
by: Lu, Yunping, et al.
Published: (2026)
C-HDNet: Hyperdimensional Computing for Causal Effect Estimation from Observational Data Under Network Interference
by: Dalvi, Abhishek, et al.
Published: (2025)
by: Dalvi, Abhishek, et al.
Published: (2025)
Local Interference: Removing Interference Bias in Semi-Parametric Causal Models
by: O'Riordan, Michael, et al.
Published: (2025)
by: O'Riordan, Michael, et al.
Published: (2025)
Variational Bayes and Truncation approximations for Enriched Dirichlet process mixtures
by: Bhadra, Somnath, et al.
Published: (2026)
by: Bhadra, Somnath, et al.
Published: (2026)
Neyman Jackknife: Design-Based Variance Estimation for Causal Inference under Interference
by: Park, Bryan, et al.
Published: (2026)
by: Park, Bryan, et al.
Published: (2026)
Relative Bias Under Imperfect Identification in Observational Causal Inference
by: Huang, Melody, et al.
Published: (2025)
by: Huang, Melody, et al.
Published: (2025)
Causal Inference for Spatial Treatments
by: Pollmann, Michael
Published: (2020)
by: Pollmann, Michael
Published: (2020)
Integrating Active Learning in Causal Inference with Interference: A Novel Approach in Online Experiments
by: Zhu, Hongtao, et al.
Published: (2024)
by: Zhu, Hongtao, et al.
Published: (2024)
Regression Discontinuity Designs Under Interference
by: Torrione, Elena Dal, et al.
Published: (2024)
by: Torrione, Elena Dal, et al.
Published: (2024)
Causal Message Passing for Experiments with Unknown and General Network Interference
by: Shirani, Sadegh, et al.
Published: (2023)
by: Shirani, Sadegh, et al.
Published: (2023)
Exact and Approximate MCMC for Doubly-intractable Probabilistic Graphical Models Leveraging the Underlying Independence Model
by: Chen, Yujie, et al.
Published: (2025)
by: Chen, Yujie, et al.
Published: (2025)
Likelihood Based Inference in Fully and Partially Observed Exponential Family Graphical Models with Intractable Normalizing Constants
by: Chen, Yujie, et al.
Published: (2024)
by: Chen, Yujie, et al.
Published: (2024)
A Sensitivity Approach to Causal Inference Under Limited Overlap
by: Ma, Yuanzhe, et al.
Published: (2025)
by: Ma, Yuanzhe, et al.
Published: (2025)
Multivariate Confluent Hypergeometric Covariance Functions with Simultaneous Flexibility over Smoothness and Tail Decay
by: Yarger, Drew, et al.
Published: (2023)
by: Yarger, Drew, et al.
Published: (2023)
Scalar-on-Shape Regression Models for Functional Data Analysis
by: Bhadra, Sayan, et al.
Published: (2024)
by: Bhadra, Sayan, et al.
Published: (2024)
Multiple Randomization Designs: Estimation and Inference with Interference
by: Masoero, Lorenzo, et al.
Published: (2024)
by: Masoero, Lorenzo, et al.
Published: (2024)
Generative Causal Inference
by: Nareklishvili, Maria, et al.
Published: (2023)
by: Nareklishvili, Maria, et al.
Published: (2023)
Geodesic Causal Inference
by: Kurisu, Daisuke, et al.
Published: (2024)
by: Kurisu, Daisuke, et al.
Published: (2024)
HNCI: High-Dimensional Network Causal Inference
by: Du, Wenqin, et al.
Published: (2024)
by: Du, Wenqin, et al.
Published: (2024)
Bayesian Causal Inference with Gaussian Process Networks
by: Giudice, Enrico, et al.
Published: (2024)
by: Giudice, Enrico, et al.
Published: (2024)
Longitudinal Causal Inference with Selective Eligibility
by: Jiang, Zhichao, et al.
Published: (2024)
by: Jiang, Zhichao, et al.
Published: (2024)
Structural Nested Mean Models Under Parallel Trends with Interference
by: Shahn, Zach, et al.
Published: (2024)
by: Shahn, Zach, et al.
Published: (2024)
Demystifying Proximal Causal Inference
by: Ringlein, Grace V., et al.
Published: (2025)
by: Ringlein, Grace V., et al.
Published: (2025)
On Causal Inference for the Survivor Function
by: Baer, Benjamin R., et al.
Published: (2025)
by: Baer, Benjamin R., et al.
Published: (2025)
Causal Inference in the Multiverse of Hazard
by: Lai, En-Yu, et al.
Published: (2024)
by: Lai, En-Yu, et al.
Published: (2024)
A Bootstrap-based Method for Testing Network Similarity
by: Bhadra, Somnath, et al.
Published: (2019)
by: Bhadra, Somnath, et al.
Published: (2019)
Similar Items
-
A regression framework for studying relationships among attributes under network interference
by: Fritz, Cornelius, et al.
Published: (2024) -
Detecting and Localizing Anomalous Cliques in Inhomogeneous Networks using Egonets
by: Bhadra, Subhankar, et al.
Published: (2018) -
Degree of Interference: A General Framework For Causal Inference Under Interference
by: Ohnishi, Yuki, et al.
Published: (2022) -
A Sensitivity Analysis Framework for Causal Inference Under Interference
by: Ortyashov, Matvey, et al.
Published: (2025) -
A Unified Framework for Community Detection and Model Selection in Blockmodels
by: Bhadra, Subhankar, et al.
Published: (2025)