Copertina

Adaptive Weight Learning for Multiple Outcome Optimization With Continuous Treatment

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Chang, Wang, Lu
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Methodology Statistics Theory
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Data-Driven Uniform Inference for General Continuous Treatment Models via Minimum-Variance Weighting
di: Ai, Chunrong, et al.
Pubblicazione: (2026)

Adaptive Targeted Maximum Likelihood Estimation of the Mean Potential Outcome under a Treatment Rule
di: Xu, Yichen, et al.
Pubblicazione: (2026)

Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders
di: Wang, Yuhao, et al.
Pubblicazione: (2020)

Variance Estimation for Weighted Average Treatment Effects
di: Li, Huiyue, et al.
Pubblicazione: (2025)

Principal Stratification with Continuous Post-Treatment Variables: Nonparametric Identification and Semiparametric Estimation
di: Lu, Sizhu, et al.
Pubblicazione: (2023)

Functional Adaptive Double-Sparsity Estimator for Functional Linear Regression Model with Multiple Functional Covariates
di: Cao, Cheng, et al.
Pubblicazione: (2023)

Doubly Robust Estimation with Stabilized Weights for Binary Proximal Outcomes in Micro-Randomized Trials
di: Cha, Jinho, et al.
Pubblicazione: (2025)

A General Framework for Multiple Testing via E-value Aggregation and Data-Dependent Weighting
di: Li, Guanxun, et al.
Pubblicazione: (2023)

Bayesian Nonparametrics for Principal Stratification with Continuous Post-Treatment Variables
di: Zorzetto, Dafne, et al.
Pubblicazione: (2024)

Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments
di: Branson, Zach, et al.
Pubblicazione: (2023)

Towards Robust Matched Observational Studies with General Treatment Types: Consistency, Efficiency, and Adaptivity
di: Heng, Siyu, et al.
Pubblicazione: (2024)

Weight-calibrated estimation for factor models of high-dimensional time series
di: Qiao, Xinghao, et al.
Pubblicazione: (2025)

Partial Identification of Causal Effects for Endogenous Continuous Treatments
di: Dalal, Abhinandan, et al.
Pubblicazione: (2025)

Flexible Functional Treatment Effect Estimation
di: Wang, Jiayi, et al.
Pubblicazione: (2023)

On Multiple Robustness of Proximal Dynamic Treatment Regimes
di: Gao, Yuanshan, et al.
Pubblicazione: (2025)

Federated Learning with Incomplete Data: When to Use Complete Cases and When to Weight
di: Vazquez, Jesus E., et al.
Pubblicazione: (2026)

Mediation Analysis with Mendelian Randomization and Efficient Multiple GWAS Integration
di: Lyu, Rita Qiuran, et al.
Pubblicazione: (2023)

Adaptive L-statistics for high dimensional test problem
di: Ma, Huifang, et al.
Pubblicazione: (2024)

Continuous-time structural failure time model for intermittent treatment
di: Wang, Guanbo, et al.
Pubblicazione: (2024)

HASOD: A Hybrid Adaptive Screening-Optimization Design for High-Dimensional Industrial Experiments
di: Pathak, Kumarjit
Pubblicazione: (2026)

Multiple testing under negative dependence
di: Chi, Ziyu, et al.
Pubblicazione: (2022)

Adaptive Penalized Doubly Robust Regression for Longitudinal Data
di: Wang, Yuyao, et al.
Pubblicazione: (2026)

Weighted Holm Procedures: Theory, Properties, and Recommendations
di: Li, Beibei, et al.
Pubblicazione: (2026)

Double Machine Learning of Continuous Treatment Effects with General Instrumental Variables
di: Chen, Shuyuan, et al.
Pubblicazione: (2026)

Design Stability in Adaptive Experiments: Implications for Treatment Effect Estimation
di: Sengupta, Saikat, et al.
Pubblicazione: (2025)

Profiled Transfer Learning for High Dimensional Linear Model
di: Lin, Ziqian, et al.
Pubblicazione: (2024)

Causal Effect of Functional Treatment
di: Tan, Ruoxu, et al.
Pubblicazione: (2022)

Estimation and Inference for the Average Treatment Effect in a Score-Explained Heterogeneous Treatment Effect Model
di: Wibisono, Kevin Christian, et al.
Pubblicazione: (2025)

Transfer Learning for Classification under Decision Rule Drift with Application to Optimal Individualized Treatment Rule Estimation
di: Wang, Xiaohan, et al.
Pubblicazione: (2025)

Weighted cumulative residual Entropy Generating Function and its properties
di: S., Smitha, et al.
Pubblicazione: (2024)

Expected Weighted D-optimal Designs for Experiments with Mixed Factors
di: Lin, Siting, et al.
Pubblicazione: (2025)

Debiased regression adjustment in completely randomized experiments with moderately high-dimensional covariates
di: Lu, Xin, et al.
Pubblicazione: (2023)

Causal Inference with High-Dimensional Treatments
di: Kramer, Patrick, et al.
Pubblicazione: (2026)

Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect
di: Lin, Ruiyang, et al.
Pubblicazione: (2025)

An Improved Satterthwaite Effective Degrees of Freedom Correction for Weighted Syntheses of Variance
di: von Davier, Matthias
Pubblicazione: (2025)

Distance Correlation in Multiple Biased Sampling Models
di: Ke, Yuwei, et al.
Pubblicazione: (2024)

Stratified Sampling for Model-Assisted Estimation with Surrogate Outcomes
di: Mozer, Reagan, et al.
Pubblicazione: (2026)

Consistency of an Intercept-Shifted Synthetic-Control Estimator under Weighted Parallel Trends
di: Guggisberg, Michael
Pubblicazione: (2025)

Model Checking for Regressions Based on Weighted Residual Processes with Diverging Number of Predictors
di: Hu, Yue, et al.
Pubblicazione: (2026)

Reinforcing RCTs with Multiple Priors while Learning about External Validity
di: Finan, Frederico, et al.
Pubblicazione: (2021)