:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Sijia, Luedtke, Alex
Formato:	Preprint
Publicado:	2021
Materias:	Methodology
Acceso en línea:	https://arxiv.org/abs/2111.14945
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Data fusion using weakly aligned sources
por: Li, Sijia, et al.
Publicado: (2023)

Estimation of causal dose-response functions under data fusion
por: Lim, Jaewon, et al.
Publicado: (2025)

Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing
por: Jain, Saksham, et al.
Publicado: (2026)

Simplifying debiased inference via automatic differentiation and probabilistic programming
por: Luedtke, Alex
Publicado: (2024)

Propensity Score Augmentation in Matching-based Estimation of Causal Effects
por: Ulloa-Pérez, Ernesto, et al.
Publicado: (2024)

DoubleGen: Debiased Generative Modeling of Counterfactuals
por: Luedtke, Alex, et al.
Publicado: (2025)

Sequentially Doubly Robust Estimation of Conditional Survival Probability with Time-Varying Covariates
por: Qiu, Hongxiang, et al.
Publicado: (2025)

Sinkhorn Treatment Effects: A Causal Optimal Transport Measure
por: Agarwal, Medha, et al.
Publicado: (2026)

Efficient Inference for Time-to-Event Outcomes by Integrating Right-Censored and Current Status Data
por: Li, Xiudi, et al.
Publicado: (2025)

Combining T-learning and DR-learning: a framework for oracle-efficient estimation of causal contrasts
por: van der Laan, Lars, et al.
Publicado: (2024)

Inference on Variable Importance for Treatment Effect Heterogeneity: Shapley Values and Beyond
por: Morzywolek, Pawel, et al.
Publicado: (2025)

Comparing HIV Vaccine Immunogenicity across Trials with Different Populations and Study Designs
por: Jin, Yutong, et al.
Publicado: (2024)

Doubly robust inference via calibration
por: van der Laan, Lars, et al.
Publicado: (2024)

Efficient collaborative learning of the average treatment effect
por: Li, Sijia, et al.
Publicado: (2024)

Efficient Inference for Covariate-adjusted Bradley-Terry Model with Covariate Shift
por: Li, Xiudi, et al.
Publicado: (2025)

Stabilized Inverse Probability Weighting via Isotonic Calibration
por: van der Laan, Lars, et al.
Publicado: (2024)

Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands
por: van der Laan, Lars, et al.
Publicado: (2025)

Efficient and Model-Agnostic Parameter Estimation Under Privacy-Preserving Post-randomization Data
por: Tian, Qinglong, et al.
Publicado: (2024)

Efficient Multiple-Robust Estimation for Nonresponse Data Under Informative Sampling
por: Morikawa, Kosuke, et al.
Publicado: (2023)

Adaptive debiased machine learning using data-driven model selection techniques
por: van der Laan, Lars, et al.
Publicado: (2023)

Data Fusion for High-Resolution Estimation
por: Guan, Amy, et al.
Publicado: (2025)

A General Identification Algorithm For Data Fusion Problems Under Systematic Selection
por: Lee, Jaron J. R., et al.
Publicado: (2024)

Semiparametric Efficient Fusion of Individual Data and Summary Statistics
por: Hu, Wenjie, et al.
Publicado: (2022)

Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
por: Wang, Zixiao, et al.
Publicado: (2023)

Efficient Inference for Noisy LLM-as-a-Judge Evaluation
por: Chen, Yiqun T, et al.
Publicado: (2026)

Asymptotically Efficient Data-adaptive Penalized Shrinkage Estimation with Application to Causal Inference
por: Susmann, Herbert P., et al.
Publicado: (2025)

Efficient Estimation of Causal Effects Under Two-Phase Sampling with Error-Prone Outcome and Treatment Measurements
por: Barnatchez, Keith, et al.
Publicado: (2025)

Thresholding Nonprobability Units in Combined Data for Efficient Domain Estimation
por: Savitsky, Terrance D., et al.
Publicado: (2025)

Feasible Fusion: Constrained Joint Estimation under Structural Non-Overlap
por: Du, Yuxi, et al.
Publicado: (2026)

Efficient Covariance Estimation for Sparsified Functional Data
por: Zheng, Sijie, et al.
Publicado: (2025)

Optimal Data Integration and Adaptive Sampling for Efficient Treatment Effect Estimation
por: Liu, Yen-Chun, et al.
Publicado: (2026)

Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator
por: Johari, Ramesh, et al.
Publicado: (2025)

Interval Estimation for Binomial Proportions Under Differential Privacy
por: Kao, Hsuan-Chen, et al.
Publicado: (2025)

Unsupervised Learning Under a General Semiparametric Clusterwise Elliptical Distribution: Efficient Estimation, Optimal Clustering, and Consistent Cluster Selection
por: Teng, Jen-Chieh, et al.
Publicado: (2026)

Estimating Treatment Effects Under Bounded Heterogeneity
por: Kwon, Soonwoo, et al.
Publicado: (2025)

Causal-ICM: A Data Fusion Framework For Heterogeneous Treatment Effect Estimation With Multi-Task Gaussian Processes
por: Dimitriou, Evangelos, et al.
Publicado: (2024)

Fusion of Tree-induced Regressions for Clinico-genomic Data
por: Goedhart, Jeroen M., et al.
Publicado: (2024)

Causal Data Fusion for Panel Data without a Pre-Intervention Period
por: Yang, Zou, et al.
Publicado: (2024)

Synthetic Data Generation With Incomplete Survey Data Under Informative Sampling
por: Almomani, Ayat, et al.
Publicado: (2026)

Doubly Robust Nonparametric Efficient Estimation for Provider Evaluation
por: Susmann, Herbert, et al.
Publicado: (2024)