Saved in:
| Main Authors: | Lu, Xin, Wang, Yuhao, Zhang, Zhiheng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.19789 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adjusted Nelson--Aalen estimators by inverse treatment probability weighting with an estimated propensity score
by: Deng, Yuhao, et al.
Published: (2024)
by: Deng, Yuhao, 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)
Partial Identification under High-Dimensional Potential Outcomes and Confounders via Optimal Transport
by: Wang, Yunfeng, et al.
Published: (2026)
by: Wang, Yunfeng, et al.
Published: (2026)
Markov chain Monte Carlo without evaluating the target: an auxiliary variable approach
by: Yuan, Wei, et al.
Published: (2024)
by: Yuan, Wei, et al.
Published: (2024)
Identification and multiply robust estimation of causal effects via instrumental variables from an auxiliary population
by: Li, Wei, et al.
Published: (2024)
by: Li, Wei, et al.
Published: (2024)
Debiased regression adjustment in completely randomized experiments with moderately high-dimensional covariates
by: Lu, Xin, et al.
Published: (2023)
by: Lu, Xin, et al.
Published: (2023)
Linear models for causal inference under network interference
by: Tong, Eric, et al.
Published: (2026)
by: Tong, Eric, et al.
Published: (2026)
Causal Representation Learning with Optimal Compression under Complex Treatments
by: Liang, Wanting, et al.
Published: (2026)
by: Liang, Wanting, et al.
Published: (2026)
The causal effects of modified treatment policies under network interference
by: Balkus, Salvador V., et al.
Published: (2024)
by: Balkus, Salvador V., et al.
Published: (2024)
Optimized variance estimation under interference and complex experimental designs
by: Harshaw, Christopher, et al.
Published: (2021)
by: Harshaw, Christopher, et al.
Published: (2021)
Effective treatment allocation strategies under partial interference
by: Dean, Samantha G, et al.
Published: (2025)
by: Dean, Samantha G, et al.
Published: (2025)
Two-Stage Multiple Test Procedures Controlling False Discovery Rate with auxiliary variable and their Application to Set4Delta Mutant Data
by: Hwang, Seohwa, et al.
Published: (2026)
by: Hwang, Seohwa, et al.
Published: (2026)
Identifiability of causal effects with non-Gaussianity and auxiliary covariates
by: Shuai, Kang, et al.
Published: (2023)
by: Shuai, Kang, et al.
Published: (2023)
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)
Design of egocentric network-based studies to estimate causal effects under interference
by: Fang, Junhan, et al.
Published: (2023)
by: Fang, Junhan, et al.
Published: (2023)
Nonparanormal Adjusted Marginal Inference
by: Dandl, Susanne, et al.
Published: (2025)
by: Dandl, Susanne, et al.
Published: (2025)
A Burden Shared is a Burden Halved: A Fairness-Adjusted Approach to Classification
by: Rava, Bradley, et al.
Published: (2021)
by: Rava, Bradley, et al.
Published: (2021)
Covariate-Adjusted Response-Adaptive Design with Delayed Outcomes
by: Ma, Xinwei, et al.
Published: (2025)
by: Ma, Xinwei, et al.
Published: (2025)
Identifying average causal effect in regression discontinuity design with auxiliary data
by: Feng, Xinqin, et al.
Published: (2024)
by: Feng, Xinqin, et al.
Published: (2024)
Laplace approximation for Bayesian variable selection via Le Cam's one-step procedure
by: Hou, Tianrui, et al.
Published: (2024)
by: Hou, Tianrui, et al.
Published: (2024)
A note on auxiliary mixture sampling for Bayesian Poisson models
by: Gardini, Aldo, et al.
Published: (2025)
by: Gardini, Aldo, et al.
Published: (2025)
Feasible Fusion: Constrained Joint Estimation under Structural Non-Overlap
by: Du, Yuxi, et al.
Published: (2026)
by: Du, Yuxi, et al.
Published: (2026)
Root-n consistent semiparametric learning with high-dimensional nuisance functions under minimal sparsity
by: Liu, Lin, et al.
Published: (2023)
by: Liu, Lin, et al.
Published: (2023)
Adjusting for indirectly measured confounding using large-scale propensity scores
by: Zhang, Linying, et al.
Published: (2021)
by: Zhang, Linying, et al.
Published: (2021)
Causal clustering: design of cluster experiments under network interference
by: Viviano, Davide, et al.
Published: (2023)
by: Viviano, Davide, et al.
Published: (2023)
Covariate Adjusted Functional Mixed Membership Models
by: Marco, Nicholas, et al.
Published: (2024)
by: Marco, Nicholas, et al.
Published: (2024)
The Extended Crosswise Model Adjusted for Random Answering
by: Sayed, Khadiga H. A., et al.
Published: (2024)
by: Sayed, Khadiga H. A., et al.
Published: (2024)
Adjusting for Spatial Correlation in Machine and Deep Learning
by: Heaton, Matthew J., et al.
Published: (2024)
by: Heaton, Matthew J., et al.
Published: (2024)
Factor-Adjusted Multiple Testing for High-Dimensional Individual Mediation Effects
by: Shi, Chen, et al.
Published: (2026)
by: Shi, Chen, et al.
Published: (2026)
A robust regression approach to synthetic control with interference
by: He, Peiyu, et al.
Published: (2024)
by: He, Peiyu, et al.
Published: (2024)
Small area estimation using incomplete auxiliary information
by: Šlevinskas, Donatas, et al.
Published: (2026)
by: Šlevinskas, Donatas, et al.
Published: (2026)
Bayesian models for missing and misclassified variables using integrated nested Laplace approximations
by: Skarstein, Emma, et al.
Published: (2024)
by: Skarstein, Emma, et al.
Published: (2024)
Hilbert space methods for approximating multi-output latent variable Gaussian processes
by: Mukherjee, Soham, et al.
Published: (2025)
by: Mukherjee, Soham, et al.
Published: (2025)
Adaptive Weighted Random Isolation (AWRI): a simple design to estimate causal effects under network interference
by: Shi, Changhao, et al.
Published: (2024)
by: Shi, Changhao, et al.
Published: (2024)
Optimal e-variables under constraints
by: Saha, Aytijhya, et al.
Published: (2026)
by: Saha, Aytijhya, et al.
Published: (2026)
Covariance matrix completion via auxiliary information
by: Steneman, Joseph, et al.
Published: (2024)
by: Steneman, Joseph, et al.
Published: (2024)
Adjusting for Participation Bias in Case-Control Genetic Association Studies for Rare Diseases
by: Wang, Le, et al.
Published: (2024)
by: Wang, Le, et al.
Published: (2024)
Nonparametric efficient inference for network quantile causal effects under partial interference
by: Cheng, Chao, et al.
Published: (2026)
by: Cheng, Chao, et al.
Published: (2026)
Causal health impacts of power plant emission controls under modeled and uncertain physical process interference
by: Wikle, Nathan B., et al.
Published: (2023)
by: Wikle, Nathan B., et al.
Published: (2023)
Efficient Adjusted Joint Significance Test and Sobel-Type Confidence Interval for Mediation Effect
by: Zhang, Haixiang
Published: (2023)
by: Zhang, Haixiang
Published: (2023)
Similar Items
-
Adjusted Nelson--Aalen estimators by inverse treatment probability weighting with an estimated propensity score
by: Deng, Yuhao, et al.
Published: (2024) -
Individualized Causal Effects under Network Interference with Combinatorial Treatments
by: Lu, Yunping, et al.
Published: (2026) -
Partial Identification under High-Dimensional Potential Outcomes and Confounders via Optimal Transport
by: Wang, Yunfeng, et al.
Published: (2026) -
Markov chain Monte Carlo without evaluating the target: an auxiliary variable approach
by: Yuan, Wei, et al.
Published: (2024) -
Identification and multiply robust estimation of causal effects via instrumental variables from an auxiliary population
by: Li, Wei, et al.
Published: (2024)