Cover Image

Fast convergence rates for dose-response estimation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bonvini, Matteo, Kennedy, Edward H.
Format:	Preprint
Published:	2022
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Doubly-robust inference and optimality in structure-agnostic models with smoothness
by: Bonvini, Matteo, et al.
Published: (2024)

Semiparametric sensitivity analysis: unmeasured confounding in observational studies
by: Nabi, Razieh, et al.
Published: (2021)

Perturbed Double Machine Learning: Nonstandard Inference Beyond the Parametric Length
by: Zheng, Mengchu, et al.
Published: (2025)

The benefit of dose-exposure-response modeling in the estimation of dose-response relationship and dose optimization: some theoretical and simulation evidence
by: Wang, Jixian, et al.
Published: (2025)

Nonparametric identification and efficient estimation of causal effects with instrumental variables
by: Levis, Alexander W., et al.
Published: (2024)

Robust estimation of causal dose-response relationship using exposure data with dose as an instrumental variable
by: Wang, Jixian, et al.
Published: (2025)

A longitudinal Bayesian framework for estimating causal dose-response relationships
by: Luo, Yu, et al.
Published: (2025)

Counterfactual Density Estimation using Kernel Stein Discrepancies
by: Martinez-Taboada, Diego, et al.
Published: (2023)

Discussion of "Causal and counterfactual views of missing data models" by Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, & James M. Robins
by: Levis, Alex W., et al.
Published: (2025)

Sensitivity analysis for incremental effects, with application to a study of victimization & offending
by: Shen, Shuying, et al.
Published: (2026)

Penalized spline estimation of principal components for sparse functional data: rates of convergence
by: He, Shiyuan, et al.
Published: (2024)

Calibrated sensitivity models
by: McClean, Alec, et al.
Published: (2024)

Doubly Robust Machine Learning for Population Size Estimation with Missing Covariates: Application to Gaza Conflict Mortality
by: Rubio, Mateo Dulce, et al.
Published: (2026)

Intervention effects based on potential benefit
by: Levis, Alexander W., et al.
Published: (2024)

Population Size Estimation with Many Lists and Heterogeneity: A Conditional Log-Linear Model Among the Unobserved
by: Rubio, Mateo Dulce, et al.
Published: (2024)

Incremental effects for continuous exposures
by: Schindl, Kyle, et al.
Published: (2024)

Causal K-Means Clustering
by: Kim, Kwangho, et al.
Published: (2024)

On the Equivalence between Neyman Orthogonality and Pathwise Differentiability
by: Chen, Yuxi, et al.
Published: (2026)

Causal effects based on distributional distances
by: Kim, Kwangho, et al.
Published: (2018)

Distribution-uniform anytime-valid sequential inference and the Robbins-Siegmund distributions
by: Waudby-Smith, Ian, et al.
Published: (2023)

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

Efficient Difference-in-Differences Estimation when Outcomes are Missing at Random
by: Testa, Lorenzo, et al.
Published: (2025)

Efficient Generalization and Transportation
by: Zeng, Zhenghao, et al.
Published: (2023)

Robust regularized covariance matrix estimation: well-posedness and convergent algorithm
by: Yi, Mengxi, et al.
Published: (2026)

Causal Inference with High-dimensional Discrete Covariates
by: Zeng, Zhenghao, et al.
Published: (2024)

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

Estimation and convergence rates in the distributional single index model
by: Balabdaoui, Fadoua, et al.
Published: (2023)

Dynamic likelihood hazard rate estimation
by: Hjort, Nils Lid
Published: (2026)

The Fundamental Limits of Structure-Agnostic Functional Estimation
by: Balakrishnan, Sivaraman, et al.
Published: (2023)

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

Testing for similarity of dose response in multi-regional clinical trials
by: Dette, Holger, et al.
Published: (2024)

Nonparametric assessment of regimen response curve estimators
by: Pham, Cuong, et al.
Published: (2024)

Nonparametric Estimation of Local Treatment Effects with Continuous Instruments
by: Zeng, Zhenghao, et al.
Published: (2025)

Hierarchical and Density-based Causal Clustering
by: Kim, Kwangho, et al.
Published: (2024)

Asymptotic equivalence of Principal Components and Quasi Maximum Likelihood estimators in Large Approximate Factor Models
by: Barigozzi, Matteo
Published: (2023)

Handling Missing Responses under Cluster Dependence with Applications to Language Model Evaluation
by: Zeng, Zhenghao, et al.
Published: (2025)

When Bayes goes bad: Weakly-regularized covariate adjustment leads to a biased estimate of prevalence
by: Kuh, Swen, et al.
Published: (2026)

The effect of estimating prevalences on the population-wise error rate
by: Luschei, Remi, et al.
Published: (2023)

Doubly-Robust Functional Average Treatment Effect Estimation
by: Testa, Lorenzo, et al.
Published: (2025)

FNETS: Factor-adjusted network estimation and forecasting for high-dimensional time series
by: Barigozzi, Matteo, et al.
Published: (2022)