Copertina

Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xie, Feng, Yao, Zhen, Xie, Lin, Zeng, Yan, Geng, Zhi
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Methodology Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Testability of Instrumental Variables in Additive Nonlinear, Non-Constant Effects Models
di: Guo, Xichen, et al.
Pubblicazione: (2024)

Robustness Against Weak or Invalid Instruments: Exploring Nonlinear Treatment Models with Machine Learning
di: Guo, Zijian, et al.
Pubblicazione: (2022)

Identification and Inference with Invalid Instruments
di: Kang, Hyunseung, et al.
Pubblicazione: (2024)

Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables
di: Xie, Feng, et al.
Pubblicazione: (2023)

Automating the Selection of Proxy Variables of Unmeasured Confounders
di: Xie, Feng, et al.
Pubblicazione: (2024)

DoFlow: Flow-based Generative Models for Interventional and Counterfactual Forecasting on Time Series
di: Wu, Dongze, et al.
Pubblicazione: (2025)

Semiparametric Causal Discovery and Inference with Invalid Instruments
di: Zou, Jing, et al.
Pubblicazione: (2025)

Causal Effect Estimation with Learned Instrument Representations
di: Dean, Frances, et al.
Pubblicazione: (2026)

Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables
di: Xie, Yang, et al.
Pubblicazione: (2024)

RepFlow: Representation Enhanced Flow Matching for Causal Effect Estimation
di: Xie, Yifei, et al.
Pubblicazione: (2026)

Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
di: Oprescu, Miruna, et al.
Pubblicazione: (2024)

Learning Treatment Representations for Downstream Instrumental Variable Regression
di: Lin, Shiangyi, et al.
Pubblicazione: (2025)

Computing high-dimensional optimal transport by flow neural networks
di: Xu, Chen, et al.
Pubblicazione: (2023)

Transfer Learning for Causal Effect Estimation
di: Wei, Song, et al.
Pubblicazione: (2023)

Beyond Maximum Likelihood: Variational Inequality Estimation for Generalized Linear Models
di: Zhu, Linglingzhi, et al.
Pubblicazione: (2025)

Assessing Electricity Service Unfairness with Transfer Counterfactual Learning
di: Wei, Song, et al.
Pubblicazione: (2023)

Flow-based Distributionally Robust Optimization
di: Xu, Chen, et al.
Pubblicazione: (2023)

Neural network-based CUSUM for online change-point detection
di: Gong, Tingnan, et al.
Pubblicazione: (2022)

Online Kernel CUSUM for Change-Point Detection
di: Wei, Song, et al.
Pubblicazione: (2022)

Asymptotic Behavior of Adversarial Training Estimator under $\ell_\infty$-Perturbation
di: Xie, Yiling, et al.
Pubblicazione: (2024)

SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification
di: Lee, Seungyeon, et al.
Pubblicazione: (2024)

Weighting-Based Identification and Estimation in Graphical Models of Missing Data
di: Guo, Anna, et al.
Pubblicazione: (2026)

Distributional Instrumental Variable Method
di: Holovchak, Anastasiia, et al.
Pubblicazione: (2025)

Identification and Debiased Learning of Causal Effects with General Instrumental Variables
di: Chen, Shuyuan, et al.
Pubblicazione: (2025)

Identification and Estimation under Multiple Versions of Treatment: Mixture-of-Experts Approach
di: Yoshikawa, Kohei, et al.
Pubblicazione: (2026)

Debiased Estimating Equation Method for Robust and Efficient Mendelian Randomization Using a Large Number of Correlated Weak and Invalid Instruments
di: Wang, Ruoyu, et al.
Pubblicazione: (2024)

Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines
di: Zeng, Liyun, et al.
Pubblicazione: (2023)

BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments
di: Penn, Jordan, et al.
Pubblicazione: (2024)

Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression
di: Wu, Anpeng, et al.
Pubblicazione: (2024)

Agglomerative Hierarchical Clustering for Selecting Valid Instrumental Variables
di: Apfel, Nicolas, et al.
Pubblicazione: (2021)

Demystifying Spectral Feature Learning for Instrumental Variable Regression
di: Meunier, Dimitri, et al.
Pubblicazione: (2025)

Graph-Based Prediction Models for Data Debiasing
di: Wu, Dongze, et al.
Pubblicazione: (2025)

Feature Matching Intervention: Leveraging Observational Data for Causal Representation Learning
di: Li, Haoze, et al.
Pubblicazione: (2025)

Using LLMs to Directly Guess Conditional Expectations Can Improve Efficiency in Causal Estimation
di: Engh, Chris, et al.
Pubblicazione: (2025)

Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach
di: Zhang, Yikun, et al.
Pubblicazione: (2021)

Nonparametric Instrumental Variable Inference with Many Weak Instruments
di: van der Laan, Lars, et al.
Pubblicazione: (2025)

Adaptive Proximal Causal Inference with Some Invalid Proxies
di: Rakshit, Prabrisha, et al.
Pubblicazione: (2025)

Confounded Causal Imitation Learning with Instrumental Variables
di: Zeng, Yan, et al.
Pubblicazione: (2025)

Identification and estimation for matrix time series CP-factor models
di: Chang, Jinyuan, et al.
Pubblicazione: (2024)

Score-Based Change-Point Detection and Region Localization for Spatio-Temporal Point Processes
di: Zhou, Wenbin, et al.
Pubblicazione: (2026)