Causal effect estimation under network interference with mean-field methods
Fuente:
arXiv
Saved in:
| Main Authors: | Bhattacharya, Sohom, Sen, Subhabrata |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Causal inference under interference: computational barriers and algorithmic solutions
by: Bhattacharya, Sohom, et al.
Published: (2025)
by: Bhattacharya, Sohom, et al.
Published: (2025)
Inference in high-dimensional logistic regression under tensor network dependence
by: Miles, Josh, et al.
Published: (2026)
by: Miles, Josh, et al.
Published: (2026)
Restrictions of PCBNs for integration-free computations
by: Derumigny, Alexis, et al.
Published: (2025)
by: Derumigny, Alexis, et al.
Published: (2025)
Subspace decompositions for association structure learning in multivariate categorical response regression
by: Zhao, Hongru, et al.
Published: (2024)
by: Zhao, Hongru, et al.
Published: (2024)
Consistent DAG selection for Bayesian causal discovery under general error distributions
by: Chaudhuri, Anamitra, et al.
Published: (2025)
by: Chaudhuri, Anamitra, et al.
Published: (2025)
Bayesian Analysis of Spiked Covariance Models: Correcting Eigenvalue Bias and Determining the Number of Spikes
by: Lee, Kwangmin, et al.
Published: (2024)
by: Lee, Kwangmin, et al.
Published: (2024)
Eigenstructure inference for high-dimensional covariance with generalized shrinkage inverse-Wishart prior
by: Kim, Seongmin, et al.
Published: (2025)
by: Kim, Seongmin, et al.
Published: (2025)
Joint parameter estimations for spin glasses
by: Chen, Wei-Kuo, et al.
Published: (2024)
by: Chen, Wei-Kuo, et al.
Published: (2024)
Asymptotics for non-degenerate multivariate $U$-statistics with estimated nuisance parameters under the null and local alternative hypotheses
by: Desgagné, Alain, et al.
Published: (2024)
by: Desgagné, Alain, et al.
Published: (2024)
A General Bayesian Nonparametric Approach for Estimating Population-Level and Conditional Causal Effects
by: Hur, Yongseok, et al.
Published: (2025)
by: Hur, Yongseok, et al.
Published: (2025)
Statistical Inference for Low-Rank Tensor Models
by: Xu, Ke, et al.
Published: (2025)
by: Xu, Ke, et al.
Published: (2025)
Causal discovery under mean independence and linearity
by: Mesters, Geert, et al.
Published: (2026)
by: Mesters, Geert, et al.
Published: (2026)
Consistent Bayesian causal discovery for structural equation models with equal error variances
by: Chaudhuri, Anamitra, et al.
Published: (2025)
by: Chaudhuri, Anamitra, et al.
Published: (2025)
Statistical Inference for Homogenization Limits Driven by Wiener or Hermite Processes
by: Alonso-Martin, Pablo Ramses
Published: (2026)
by: Alonso-Martin, Pablo Ramses
Published: (2026)
Bayesian Joint Modeling of Interrater and Intrarater Reliability with Multilevel Data
by: Hawila, Nour, et al.
Published: (2024)
by: Hawila, Nour, et al.
Published: (2024)
Fast estimation of Kendall's Tau and conditional Kendall's Tau matrices under structural assumptions
by: van der Spek, Rutger, et al.
Published: (2022)
by: van der Spek, Rutger, et al.
Published: (2022)
A two-way heterogeneity model for dynamic networks
by: Jiang, Binyan, et al.
Published: (2023)
by: Jiang, Binyan, et al.
Published: (2023)
Minimum $Φ$-distance estimators for finite mixing measures
by: Wei, Yun, et al.
Published: (2023)
by: Wei, Yun, et al.
Published: (2023)
Copula Modelling of Serially Correlated Multivariate Data with Hidden Structures
by: Zimmerman, Robert, et al.
Published: (2022)
by: Zimmerman, Robert, et al.
Published: (2022)
Simultaneous Heterogeneity and Reduced-rank Learning for Multivariate Response Regression
by: Wu, Jie, et al.
Published: (2025)
by: Wu, Jie, et al.
Published: (2025)
Graphical models for multivariate extremes
by: Engelke, Sebastian, et al.
Published: (2024)
by: Engelke, Sebastian, et al.
Published: (2024)
From Graphical Lasso to Atomic Norms: High-Dimensional Pattern Recovery
by: Graczyk, Piotr, et al.
Published: (2025)
by: Graczyk, Piotr, et al.
Published: (2025)
Semiparametric Modeling and Analysis for Longitudinal Network Data
by: He, Yinqiu, et al.
Published: (2023)
by: He, Yinqiu, et al.
Published: (2023)
Ordinal pattern dependence and multivariate measures of dependence
by: Silbernagel, Angelika, et al.
Published: (2024)
by: Silbernagel, Angelika, et al.
Published: (2024)
A method for sparse and robust independent component analysis
by: Heinonen, Lauri, et al.
Published: (2025)
by: Heinonen, Lauri, et al.
Published: (2025)
Subsample-Based Estimation under Dynamic Contamination
by: Yang, Yukai, et al.
Published: (2026)
by: Yang, Yukai, et al.
Published: (2026)
Optimal shrinkage estimation in heteroscedastic hierarchical linear models
by: Kou, Samuel, et al.
Published: (2015)
by: Kou, Samuel, et al.
Published: (2015)
Unbiased estimation and asymptotically valid inference in multivariable Mendelian randomization with many weak instrumental variables
by: Yang, Yihe, et al.
Published: (2023)
by: Yang, Yihe, et al.
Published: (2023)
Beyond the delta method
by: Lejay, Antoine, et al.
Published: (2022)
by: Lejay, Antoine, et al.
Published: (2022)
Parametric Bootstrap for Fixed Edge-Probability Network Models
by: Shao, Zhixuan, et al.
Published: (2024)
by: Shao, Zhixuan, et al.
Published: (2024)
Tuning free Catoni type joint robust estimation
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Inference in pseudo-observation-based regression using (biased) covariance estimation and naive bootstrapping
by: Mack, Simon, et al.
Published: (2025)
by: Mack, Simon, et al.
Published: (2025)
Improving variable selection properties with data integration and transfer learning
by: Rognon-Vael, Paul, et al.
Published: (2025)
by: Rognon-Vael, Paul, et al.
Published: (2025)
Bernstein-von Mises Theorem for Sparse Generalized Linear Model
by: Li, Hanqing, et al.
Published: (2026)
by: Li, Hanqing, et al.
Published: (2026)
Low-Rank and Sparse Drift Estimation for High-Dimensional Lévy-Driven Ornstein--Uhlenbeck Processes
by: Palaisti, Marina
Published: (2026)
by: Palaisti, Marina
Published: (2026)
On the class of exponential statistical structures of type B
by: Volkov, Oleksandr, et al.
Published: (2025)
by: Volkov, Oleksandr, et al.
Published: (2025)
Sparse factor models of high dimension
by: Poignard, Benjamin, et al.
Published: (2023)
by: Poignard, Benjamin, et al.
Published: (2023)
How should we aggregate ratings? Accounting for personal rating scales via Wasserstein barycenters
by: Raban, Daniel
Published: (2024)
by: Raban, Daniel
Published: (2024)
A Modified Bayesian Criterion for Model Selection in Mixed and Hierarchical Frameworks
by: Ramirez, Diogenes de Jesus, et al.
Published: (2026)
by: Ramirez, Diogenes de Jesus, et al.
Published: (2026)
Sparse maximum likelihood estimation for regression models
by: Tsao, Min
Published: (2024)
by: Tsao, Min
Published: (2024)
Similar Items
-
Causal inference under interference: computational barriers and algorithmic solutions
by: Bhattacharya, Sohom, et al.
Published: (2025) -
Inference in high-dimensional logistic regression under tensor network dependence
by: Miles, Josh, et al.
Published: (2026) -
Restrictions of PCBNs for integration-free computations
by: Derumigny, Alexis, et al.
Published: (2025) -
Subspace decompositions for association structure learning in multivariate categorical response regression
by: Zhao, Hongru, et al.
Published: (2024) -
Consistent DAG selection for Bayesian causal discovery under general error distributions
by: Chaudhuri, Anamitra, et al.
Published: (2025)