Causal Inference in Biomedical Imaging via Functional Linear Structural Equation Models
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Ting, Fan, Ethan, Li, Tengfei, Zhu, Hongtu |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Causal Inference on Process Graphs, Part I: The Structural Equation Process Representation
by: Reiter, Nicolas-Domenic, et al.
Published: (2023)
by: Reiter, Nicolas-Domenic, et al.
Published: (2023)
Learning Linear Polytree Structural Equation Models
by: Lou, Xingmei, et al.
Published: (2021)
by: Lou, Xingmei, et al.
Published: (2021)
Anytime-Valid Linear Models and Regression Adjusted Causal Inference in Randomized Experiments
by: Lindon, Michael, et al.
Published: (2022)
by: Lindon, Michael, et al.
Published: (2022)
Causal Inference on Process Graphs, Part II: Causal Structure and Effect Identification
by: Reiter, Nicolas-Domenic, et al.
Published: (2024)
by: Reiter, Nicolas-Domenic, et al.
Published: (2024)
Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models
by: Liu, Hua, et al.
Published: (2020)
by: Liu, Hua, et al.
Published: (2020)
Nonparametric Statistical Inference via Metric Distribution Function in Metric Spaces
by: Wang, Xueqin, et al.
Published: (2021)
by: Wang, Xueqin, et al.
Published: (2021)
Functional Adaptive Double-Sparsity Estimator for Functional Linear Regression Model with Multiple Functional Covariates
by: Cao, Cheng, et al.
Published: (2023)
by: Cao, Cheng, et al.
Published: (2023)
Variable Selection and Minimax Prediction in High-dimensional Functional Linear Model
by: Guo, Xingche, et al.
Published: (2023)
by: Guo, Xingche, et al.
Published: (2023)
GMM with Many Weak Moment Conditions and Nuisance Parameters: General Theory and Applications to Causal Inference
by: Wang, Rui, et al.
Published: (2025)
by: Wang, Rui, et al.
Published: (2025)
Refined Inference for Asymptotically Linear Estimators with Non-Negligible Second-Order Remainders
by: Li, Lin
Published: (2026)
by: Li, Lin
Published: (2026)
Variance Inference Beyond the Sandwich for Asymptotically Linear Estimators with Second-Order Remainders
by: Li, Lin, et al.
Published: (2026)
by: Li, Lin, et al.
Published: (2026)
Causal Inference with High-Dimensional Treatments
by: Kramer, Patrick, et al.
Published: (2026)
by: Kramer, Patrick, et al.
Published: (2026)
Generalised Bayes Linear Inference
by: Astfalck, Lachlan, et al.
Published: (2024)
by: Astfalck, Lachlan, et al.
Published: (2024)
Robust Inference for High-dimensional Linear Models with Heavy-tailed Errors via Partial Gini Covariance
by: Zhang, Yilin, et al.
Published: (2024)
by: Zhang, Yilin, et al.
Published: (2024)
Statistical Inference for High-Dimensional Robust Linear Regression Models via Recursive Online-Score Estimation
by: Zheng, Dian, et al.
Published: (2025)
by: Zheng, Dian, et al.
Published: (2025)
Confidence in Causal Inference under Structure Uncertainty in Linear Causal Models with Equal Variances
by: Strieder, David, et al.
Published: (2023)
by: Strieder, David, et al.
Published: (2023)
Identification and Inference for Structural Accelerated Failure Time Models via Instrument Interactions
by: Bu, Qiushi, et al.
Published: (2026)
by: Bu, Qiushi, et al.
Published: (2026)
Statistical Inference on Latent Space Models for Network Data
by: Li, Jinming, et al.
Published: (2023)
by: Li, Jinming, et al.
Published: (2023)
Causal Inference with High-dimensional Discrete Covariates
by: Zeng, Zhenghao, et al.
Published: (2024)
by: Zeng, Zhenghao, et al.
Published: (2024)
Estimation and Inference in Ultrahigh Dimensional Partially Linear Single-Index Models
by: Cui, Shijie, et al.
Published: (2024)
by: Cui, Shijie, et al.
Published: (2024)
Causal Effect of Functional Treatment
by: Tan, Ruoxu, et al.
Published: (2022)
by: Tan, Ruoxu, et al.
Published: (2022)
Structural Causal Models for Extremes: an Approach Based on Exponent Measures
by: Bai, Shuyang, et al.
Published: (2025)
by: Bai, Shuyang, et al.
Published: (2025)
Maximum Ideal Likelihood Estimation: A Unified Inference Framework for Latent Variable Models
by: Cai, Yizhou, et al.
Published: (2024)
by: Cai, Yizhou, et al.
Published: (2024)
Estimating Signal-to-Noise Ratios for Multivariate High-dimensional Linear Models
by: Hu, Xiaohan, et al.
Published: (2025)
by: Hu, Xiaohan, et al.
Published: (2025)
Asymptotic Uncertainty in the Estimation of Frequency Domain Causal Effects for Linear Processes
by: Reiter, Nicolas-Domenic, et al.
Published: (2024)
by: Reiter, Nicolas-Domenic, et al.
Published: (2024)
Functional Linear Non-Gaussian Acyclic Model for Causal Discovery
by: Yang, Tian-Le, et al.
Published: (2024)
by: Yang, Tian-Le, et al.
Published: (2024)
Strang Splitting for Parametric Inference in Second-order Stochastic Differential Equations
by: Pilipovic, Predrag, et al.
Published: (2024)
by: Pilipovic, Predrag, et al.
Published: (2024)
Marginal Inference for Hierarchical Generalized Linear Mixed Models with Patterned Covariance Matrices Using the Laplace Approximation
by: Hoef, Jay M. Ver, et al.
Published: (2023)
by: Hoef, Jay M. Ver, et al.
Published: (2023)
G-HIVE: Parameter Estimation and Approximate Inference for Multivariate Response Generalized Linear Models with Hidden Variables
by: Lee, Inbeom, et al.
Published: (2025)
by: Lee, Inbeom, et al.
Published: (2025)
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)
Semiparametric Causal Inference for Right-Censored Outcomes with Many Weak Invalid Instruments
by: Bu, Qiushi, et al.
Published: (2025)
by: Bu, Qiushi, et al.
Published: (2025)
Statistical Inference on High Dimensional Gaussian Graphical Regression Models
by: Meng, Xuran, et al.
Published: (2024)
by: Meng, Xuran, et al.
Published: (2024)
Nonparametric Instrumental Variable Analysis Without Structural Equations: Debiased Inference on Functionals of Inverse Problems with No Solutions
by: Shen, Zikai, et al.
Published: (2026)
by: Shen, Zikai, et al.
Published: (2026)
Deep Nonparametric Inference for Conditional Hazard Function
by: Su, Wen, et al.
Published: (2024)
by: Su, Wen, et al.
Published: (2024)
A Reflection on the Impact of Misspecifying Unidentifiable Causal Inference Models in Surrogate Endpoint Evaluation
by: Deliorman, Gokce, et al.
Published: (2024)
by: Deliorman, Gokce, et al.
Published: (2024)
Causal Inference in Longitudinal Data under Unknown Interference
by: Wang, Ye, et al.
Published: (2021)
by: Wang, Ye, et al.
Published: (2021)
Inference in semiparametric formation models for directed networks
by: Qu, Lianqiang, et al.
Published: (2024)
by: Qu, Lianqiang, et al.
Published: (2024)
Detecting Parameter Instabilities in Functional Concurrent Linear Regression
by: Basu, Rupsa, et al.
Published: (2026)
by: Basu, Rupsa, et al.
Published: (2026)
Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples
by: Wang, Peng, et al.
Published: (2022)
by: Wang, Peng, et al.
Published: (2022)
Hypothesis Testing for Functional Linear Models via Bootstrapping
by: Lin, Yinan, et al.
Published: (2021)
by: Lin, Yinan, et al.
Published: (2021)
Similar Items
-
Causal Inference on Process Graphs, Part I: The Structural Equation Process Representation
by: Reiter, Nicolas-Domenic, et al.
Published: (2023) -
Learning Linear Polytree Structural Equation Models
by: Lou, Xingmei, et al.
Published: (2021) -
Anytime-Valid Linear Models and Regression Adjusted Causal Inference in Randomized Experiments
by: Lindon, Michael, et al.
Published: (2022) -
Causal Inference on Process Graphs, Part II: Causal Structure and Effect Identification
by: Reiter, Nicolas-Domenic, et al.
Published: (2024) -
Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models
by: Liu, Hua, et al.
Published: (2020)