Image de couverture de livre

Improved bounds and inference on optimal regimes

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Laurendeau, Julien D., Sarvet, Aaron L., Stensrud, Mats J.
Format:	Preprint
Publié:	2024
Sujets:	Methodology Statistics Theory
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Optimal regimes for algorithm-assisted human decision-making
par: Stensrud, Mats J., et autres
Publié: (2022)

Optimal regimes with limited resources
par: Sarvet, Aaron L., et autres
Publié: (2024)

On treating right-censoring events like treatments
par: Wen, Lan, et autres
Publié: (2025)

Encoding and inference on separable effects for sustained treatments
par: Gonzalez-Perez, Ignacio, et autres
Publié: (2025)

Separable effects for adherence
par: Wanis, Kerollos Nashat, et autres
Publié: (2023)

Anytime valid and asymptotically optimal inference driven by predictive recursion
par: Dixit, Vaidehi, et autres
Publié: (2023)

Estimation and inference for minimizer and minimum of convex functions: optimality, adaptivity and uncertainty principles
par: Cai, T. Tony, et autres
Publié: (2023)

Rank-based concordance for zero-inflated data: New representations, estimators, and sharp bounds
par: Arends, Jasper, et autres
Publié: (2025)

A simple strategy for valid inference in target trial emulations
par: Stensrud, Mats Julius
Publié: (2026)

Valid post-selection inference in Robust Q-learning
par: Jones, Jeremiah, et autres
Publié: (2022)

Neymanian inference in randomized experiments
par: Chattopadhyay, Ambarish, et autres
Publié: (2024)

Mosaic inference on panel data
par: Spector, Asher, et autres
Publié: (2025)

Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values
par: Guo, F. Richard, et autres
Publié: (2023)

Selective inference is easier with p-values
par: Sood, Anav
Publié: (2024)

On inference for modularity statistics in structured networks
par: Mitra, Anirban, et autres
Publié: (2024)

Optimal inference for the mean of random functions
par: Kassi, Omar, et autres
Publié: (2025)

Distribution-free inference with hierarchical data
par: Lee, Yonghoon, et autres
Publié: (2023)

A new look at fiducial inference
par: Bissiri, Pier Giovanni, et autres
Publié: (2025)

Uniform inference in linear mixed models
par: Ekvall, Karl Oskar, et autres
Publié: (2025)

Asymptotics of cut distributions and robust modular inference using Posterior Bootstrap
par: Pompe, Emilia, et autres
Publié: (2021)

Generalizing and transporting causal inferences from randomized trials in the presence of trial engagement effects
par: Ung, Lawson, et autres
Publié: (2024)

Asymptotically-exact selective inference for quantile regression
par: Wang, Yumeng, et autres
Publié: (2024)

Simultaneous semiparametric inference for single-index models
par: Tang, Jiajun, et autres
Publié: (2024)

Doubly robust inference with censoring unbiased transformations
par: Sandqvist, Oliver Lunding
Publié: (2024)

Post-reduction inference for confidence sets of models
par: Battey, Heather, et autres
Publié: (2025)

Two-sample inference for sparse functional data
par: Zhang, Chi, et autres
Publié: (2023)

Posterior inference via Hill's prediction model
par: Bissiri, Pier Giovanni, et autres
Publié: (2026)

Pooling information in likelihood-free inference
par: Frazier, David T., et autres
Publié: (2022)

Optimal estimation of the null distribution in large-scale inference
par: Kotekal, Subhodh, et autres
Publié: (2024)

Semi-parametric Bayesian inference under Neyman orthogonality
par: Sabbagh, Magid, et autres
Publié: (2026)

Statistical inference for high-dimensional spectral density matrix
par: Chang, Jinyuan, et autres
Publié: (2022)

Differentially private inference framework of Riemannian manifold data
par: Jiang, Yangdi, et autres
Publié: (2026)

k-Sample inference via Multimarginal Optimal Transport
par: Kravtsova, Natalia
Publié: (2025)

Possibility-theoretic statistical inference offers performance and probativeness assurances
par: Cella, Leonardo, et autres
Publié: (2023)

Posterior risk of modular and semi-modular Bayesian inference
par: Frazier, David T., et autres
Publié: (2023)

Scalable Bayesian inference for heat kernel Gaussian processes on manifolds
par: He, Junhui, et autres
Publié: (2024)

On MCMC mixing for predictive inference under unidentified transformation models
par: Zhong, Chong, et autres
Publié: (2024)

Statistical inference of random graphs with a surrogate likelihood function
par: Wu, Dingbo, et autres
Publié: (2022)

A spectral inference method for determining the number of communities in networks
par: Wu, Yujia, et autres
Publié: (2026)

Post-selection inference for e-value based confidence intervals
par: Xu, Ziyu, et autres
Publié: (2022)