Copertina

Extention of Bagging MARS with Group LASSO for Heterogeneous Treatment Effect Estimation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	He, Guanwenqing, Wan, Ke, Maruo, Kazushi, Shimokawa, Toshio
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Extension of Bootstrap MARS With Group LASSO for Heterogeneous Treatment Effect Estimation
di: Guanwenqing He, et al.
Pubblicazione: (2026)

Differentially Private One-Shot Federated Inference for Linear Mixed Models via Lossless Likelihood Reconstruction
di: Hanada, Keisuke, et al.
Pubblicazione: (2026)

Federated Rule Ensemble Method in Medical Data
di: Wan, Ke, et al.
Pubblicazione: (2026)

Nonparametric Bayesian approach for dynamic borrowing of historical control data
di: Ohigashi, Tomohiro, et al.
Pubblicazione: (2024)

Synthetic Heterogeneous-Effects LASSO: A Fixed-effects Estimation Approach for High-dimensional Mixed-effects Models
di: Ye, Shangyuan, et al.
Pubblicazione: (2026)

Joint Estimation of Marginal and Heterogeneous Treatment Effects
di: Wuethrich, Leticia, et al.
Pubblicazione: (2026)

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

Double/Debiased CoCoLASSO of Treatment Effects with Mismeasured High-Dimensional Control Variables
di: Kim, Geonwoo, et al.
Pubblicazione: (2024)

LongBet: Heterogeneous Treatment Effect Estimation in Panel Data
di: Wang, Meijia, et al.
Pubblicazione: (2024)

Estimating Heterogeneous Treatment Effects for Spatio-Temporal Causal Inference
di: Zhou, Lingxiao, et al.
Pubblicazione: (2024)

Estimating sparse direct effects in multivariate regression with the spike-and-slab LASSO
di: Shen, Yunyi, et al.
Pubblicazione: (2022)

Matching-Based Nonparametric Estimation of Group Average Treatment Effects
di: Wu, Peng, et al.
Pubblicazione: (2025)

Detecting and Mitigating Group Bias in Heterogeneous Treatment Effects
di: Persson, Joel, et al.
Pubblicazione: (2026)

Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects
di: Liang, Zhongyuan, et al.
Pubblicazione: (2025)

Heterogeneous Quantile Treatment Effect Estimation for Longitudinal Data with High-Dimensional Confounding
di: Qiu, Zhixin, et al.
Pubblicazione: (2025)

Comparison of the LASSO and Integrative LASSO with Penalty Factors (IPF-LASSO) methods for multi-omics data: Variable selection with Type I error control
di: Castel, Charlotte, et al.
Pubblicazione: (2024)

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

Data-Driven Estimation of Heterogeneous Treatment Effects
di: Tran, Christopher, et al.
Pubblicazione: (2023)

Using Recursive Partitioning to Find and Estimate Heterogenous Treatment Effects In Randomized Clinical Trials
di: Berk, Richard A., et al.
Pubblicazione: (2018)

Adaptive sparsening and smoothing of the treatment model for longitudinal causal inference using outcome-adaptive LASSO and marginal fused LASSO
di: Schnitzer, Mireille E, et al.
Pubblicazione: (2024)

Shifting the Paradigm: Estimating Heterogeneous Treatment Effects in the Development of Walkable Cities Design
di: Zhu, Jie, et al.
Pubblicazione: (2024)

Estimating Interpretable Heterogeneous Treatment Effect with Causal Subgroup Discovery in Survival Outcomes
di: Bo, Na, et al.
Pubblicazione: (2024)

Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
di: Goplerud, Max, et al.
Pubblicazione: (2022)

Minimax Regret Estimation for Generalizing Heterogeneous Treatment Effects with Multisite Data
di: Zhang, Yi, et al.
Pubblicazione: (2024)

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

What Makes Forest-Based Heterogeneous Treatment Effect Estimators Work?
di: Dandl, Susanne, et al.
Pubblicazione: (2022)

Using Individualized Treatment Effects to Assess Treatment Effect Heterogeneity
di: Sechidis, Konstantinos, et al.
Pubblicazione: (2025)

Outlier-Resistant Heterogeneous Treatment Effect Estimation in HDLSS Settings via GAT--CVAE Framework
di: Lee, Byeonghee, et al.
Pubblicazione: (2025)

Estimating optimal interpretable individualized treatment regimes from a classification perspective using adaptive LASSO
di: Zhang, Yunshu, et al.
Pubblicazione: (2026)

Evaluating and Testing for Actionable Treatment Effect Heterogeneity
di: Ashouri, Mahsa, et al.
Pubblicazione: (2025)

On Weighted Orthogonal Learners for Heterogeneous Treatment Effects
di: Morzywolek, Pawel, et al.
Pubblicazione: (2023)

A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding
di: Zhang, Xinhai, et al.
Pubblicazione: (2024)

Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation
di: Chikahara, Yoichi, et al.
Pubblicazione: (2024)

Heterogeneous Treatment Effects and Causal Mechanisms
di: Fu, Jiawei, et al.
Pubblicazione: (2024)

Assessing Heterogeneity of Treatment Effects
di: Kaji, Tetsuya, et al.
Pubblicazione: (2023)

The $\infty$-S test via regression quantile affine LASSO
di: Sardy, Sylvain, et al.
Pubblicazione: (2024)

Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference
di: Qu, Zhaonan, et al.
Pubblicazione: (2021)

Treatment Effect Heterogeneity and Importance Measures for Multivariate Continuous Treatments
di: Shin, Heejun, et al.
Pubblicazione: (2024)

Accounting for Missing Covariates in Heterogeneous Treatment Estimation
di: Yamin, Khurram, et al.
Pubblicazione: (2024)

Adaptive Experiments Toward Learning Treatment Effect Heterogeneity
di: Wei, Waverly, et al.
Pubblicazione: (2023)