Copertina

Design-based theory for Lasso adjustment in randomized block experiments and rerandomized experiments

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhu, Ke, Liu, Hanzhong, Yang, Yuehan
Natura:	Preprint
Pubblicazione:	2021
Soggetti:	Methodology Statistics Theory
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Regression adjustment in covariate-adaptive randomized experiments with missing covariates
di: Fu, Wanjia, et al.
Pubblicazione: (2025)

Sharp variance estimator and causal bootstrap in stratified randomized experiments
di: Yu, Haoyang, et al.
Pubblicazione: (2024)

Asymptotic theory of rerandomization for survival analysis
di: Chen, Xinyuan, et al.
Pubblicazione: (2026)

Neumann-series corrections for regression adjustment in randomized experiments
di: Song, Dogyoon
Pubblicazione: (2025)

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

Design-based inference for generalized causal effects in randomized experiments
di: Chen, Xinyuan, et al.
Pubblicazione: (2026)

Inference under covariate-adaptive randomization with many strata
di: Xin, Jiahui, et al.
Pubblicazione: (2024)

Neymanian inference in randomized experiments
di: Chattopadhyay, Ambarish, et al.
Pubblicazione: (2024)

Imputation-based randomization tests for randomized experiments with interference
di: Han, Tingxuan, et al.
Pubblicazione: (2024)

Design-based finite-sample analysis for regression adjustment
di: Song, Dogyoon
Pubblicazione: (2025)

Prediction Suboptimality of the Lasso in Sparse Linear Regression
di: Liu, Guo
Pubblicazione: (2026)

Rejoinder to Reader Reaction "On exact randomization-based covariate-adjusted confidence intervals" by Jacob Fiksel
di: Zhu, Ke, et al.
Pubblicazione: (2025)

On the achievability of efficiency bounds for covariate-adjusted response-adaptive randomization
di: Xin, Jiahui, et al.
Pubblicazione: (2024)

Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective
di: Takada, Masaaki, et al.
Pubblicazione: (2023)

Network Goodness-of-Fit for the block-model family
di: Jin, Jiashun, et al.
Pubblicazione: (2025)

An improved nonparametric test and sample size procedures for the randomized complete block designs
di: Jan, Show-Li, et al.
Pubblicazione: (2025)

Assumption-lean covariate adjustment under covariate adaptive randomization when $p = o (n)$
di: Gu, Yujia, et al.
Pubblicazione: (2025)

Multivariate and Multiple Contrast Testing in General Covariate-adjusted Factorial Designs
di: Baumeister, Marléne, et al.
Pubblicazione: (2025)

Asymptotic inference with flexible covariate adjustment under rerandomization and stratified rerandomization
di: Wang, Bingkai, et al.
Pubblicazione: (2024)

Simulation-calibration testing for inference in Lasso regressions
di: Pluntz, Matthieu, et al.
Pubblicazione: (2024)

Uniform Asymptotics and Confidence Regions Based on the Adaptive Lasso with Partially Consistent Tuning
di: Amann, Nicolai, et al.
Pubblicazione: (2018)

Unifying regression-based and design-based causal inference in time-series experiments
di: Lin, Zhexiao, et al.
Pubblicazione: (2025)

Conditional cross-fitting for unbiased machine-learning-assisted covariate adjustment in randomized experiments
di: Lu, Xin, et al.
Pubblicazione: (2025)

Assumption-lean weak limits and tests for two-stage adaptive experiments
di: Niu, Ziang, et al.
Pubblicazione: (2025)

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection
di: Liu, Jingbo
Pubblicazione: (2024)

Likelihood ratio tests in random graph models with increasing dimensions
di: Yan, Ting, et al.
Pubblicazione: (2023)

Finite sample-optimal adjustment sets in linear Gaussian causal models
di: Rutsch, Nadja, et al.
Pubblicazione: (2025)

Marked point processes intensity estimation using sparse group Lasso method applied to locations of lucrative and cooperative banks in mainland France
di: Artis, Amélie, et al.
Pubblicazione: (2025)

Bootstrap inference for linear regression between variables that are never jointly observed: application in in vivo experiments
di: Arsenteva, Polina, et al.
Pubblicazione: (2024)

Causal clustering: design of cluster experiments under network interference
di: Viviano, Davide, et al.
Pubblicazione: (2023)

Lasso Penalization for High-Dimensional Beta Regression Models: Computation, Analysis, and Inference
di: Ramezani, Niloofar, et al.
Pubblicazione: (2025)

Unifying design-based and model-based sampling theory -- some suggestions to clear the cobwebs
di: O'Neill, Ben
Pubblicazione: (2024)

Doubly robust estimation with functional outcomes missing at random
di: Liu, Xijia, et al.
Pubblicazione: (2024)

Bayesian nonparametric community detection in assortative stochastic block models
di: Amongero, Martina, et al.
Pubblicazione: (2025)

Robustness and Efficiency of Rosenbaum's Rank-based Estimator in Randomized Trials: A Design-based Perspective
di: Ghosh, Aditya, et al.
Pubblicazione: (2021)

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

Interaction tests with covariate-adaptive randomization
di: Zhang, Likun, et al.
Pubblicazione: (2023)

Testing distributional equality for functional random variables
di: Banerjee, Bilol
Pubblicazione: (2023)

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

On a theory of martingales for censoring
di: Baer, Benjamin R., et al.
Pubblicazione: (2024)