Cover Image

Optimally weighted average derivative effects

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hines, Oliver, Diaz-Ordaz, Karla, Vansteelandt, Stijn
Format:	Preprint
Published:	2023
Subjects:	Methodology Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Parameterising the effect of a continuous treatment using average derivative effects
by: Hines, Oliver J., et al.
Published: (2021)

Variable importance measures for heterogeneous treatment effects
by: Hines, Oliver J., et al.
Published: (2022)

Robust Inference for Mediated Effects in Partially Linear Models
by: Hines, Oliver, et al.
Published: (2020)

One-step TMLE for weighted average treatment effects
by: Liu, Yang, et al.
Published: (2026)

Rate doubly robust estimation for weighted average treatment effects
by: Wang, Yiming, et al.
Published: (2025)

Targeted learning of heterogeneous treatment effect curves for right censored or left truncated time-to-event data
by: Pryce, Matthew, et al.
Published: (2026)

Randomization-based confidence sets for the local average treatment effect
by: Aronow, P. M., et al.
Published: (2024)

Randomization-based Z-estimation for evaluating average and individual treatment effects
by: Qu, Tianyi, et al.
Published: (2024)

A note on the properties of the confidence set for the local average treatment effect obtained by inverting the score test
by: Smucler, Ezequiel, et al.
Published: (2025)

An average-case sensitivity analysis for unmeasured confounding
by: Zhang, Yao, et al.
Published: (2022)

Doublethink: simultaneous Bayesian-frequentist model-averaged hypothesis testing
by: Fryer, Helen R., et al.
Published: (2023)

Using fractional derivatives to derive marginal densities
by: Li, Si-Yang, et al.
Published: (2024)

Optimal estimation of generalized causal effects in cluster-randomized trials with multiple outcomes
by: Chen, Xinyuan, et al.
Published: (2026)

Subscedastic weighted least squares estimates
by: Bryan, Jordan, et al.
Published: (2024)

Robustifying likelihoods by optimistically re-weighting data
by: Dewaskar, Miheer, et al.
Published: (2023)

Variance estimation after matching or re-weighting
by: Meng, Xiang, et al.
Published: (2025)

On importance sampling and independent Metropolis-Hastings with an unbounded weight function
by: Deligiannidis, George, et al.
Published: (2024)

On new tests for the Poisson distribution based on empirical weight functions
by: Kirui, Winnie, et al.
Published: (2024)

Optimal Spatial Anomaly Detection
by: Wang, Baiyu, et al.
Published: (2025)

Test for high-dimensional mean vectors via the weighted $L_2$-norm
by: Li, Jianghao, et al.
Published: (2024)

Event history analysis with time-dependent covariates via landmarking supermodels and boosted trees
by: Sandqvist, Oliver Lunding
Published: (2026)

Doubly robust inference with censoring unbiased transformations
by: Sandqvist, Oliver Lunding
Published: (2024)

Optimal heteroskedasticity testing in nonparametric regression
by: Kotekal, Subhodh, et al.
Published: (2023)

Optimal inference for the mean of random functions
by: Kassi, Omar, et al.
Published: (2025)

Extremal properties of max-autoregressive moving average processes for modelling extreme river flows
by: D'Arcy, Eleanor, et al.
Published: (2024)

Two-stage weighted least squares estimator of multivariate non-negative observation-driven models
by: Armillotta, Mirko
Published: (2023)

Constrained Denoising, Empirical Bayes, and Optimal Transport
by: Jaffe, Adam Quinn, et al.
Published: (2025)

Jackknife empirical likelihood ratio test for log symmetric distribution using probability weighted moments
by: S, Anjana, et al.
Published: (2024)

Optimal convex $M$-estimation via score matching
by: Feng, Oliver Y., et al.
Published: (2024)

Optimal estimation of the null distribution in large-scale inference
by: Kotekal, Subhodh, et al.
Published: (2024)

Optimal Adjustment and Combination of Independent Discrete $p$-Values
by: Contador, Gonzalo, et al.
Published: (2025)

Optimal E-Values for Exponential Families: the Simple Case
by: Grünwald, Peter, et al.
Published: (2024)

Bayesian Sphere-on-Sphere Regression with Optimal Transport Maps
by: Ng, Tin Lok James, et al.
Published: (2025)

Optimal estimation in private distributed functional data analysis
by: Xue, Gengyu, et al.
Published: (2024)

Optimal regimes for algorithm-assisted human decision-making
by: Stensrud, Mats J., et al.
Published: (2022)

k-Sample inference via Multimarginal Optimal Transport
by: Kravtsova, Natalia
Published: (2025)

Optimal Confidence Bands for Shape-restricted Regression in Multidimensions
by: Ashley, et al.
Published: (2024)

Simultaneous Feature Selection and Outlier Detection with Optimality Guarantees
by: Insolia, Luca, et al.
Published: (2020)

Asymptotically Optimal Sequential Multiple Testing Procedures for Correlated Normal
by: Dey, Monitirtha, et al.
Published: (2023)

Optimal Design under Interference, Homophily, and Robustness Trade-offs
by: Thiyageswaran, Vydhourie, et al.
Published: (2026)