Cover Image

Unifying design-based and model-based sampling theory -- some suggestions to clear the cobwebs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	O'Neill, Ben
Format:	Preprint
Published:	2024
Subjects:	Methodology Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

One-dimensional quantile-stratified sampling and its application in statistical simulations
by: O'Neill, Ben
Published: (2025)

Static and Dynamic BART for Rank-Order Data
by: Iacopini, Matteo, et al.
Published: (2023)

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

Design-based theory for Lasso adjustment in randomized block experiments and rerandomized experiments
by: Zhu, Ke, et al.
Published: (2021)

Copula-based models for correlated circular data
by: Lagona, Francesco, et al.
Published: (2024)

Large-sample theory for inferential models: a possibilistic Bernstein--von Mises theorem
by: Martin, Ryan, et al.
Published: (2024)

Surrogate modeling for probability distribution estimation:uniform or adaptive design?
by: Su, Maijia, et al.
Published: (2024)

A model-based approach for clustering binned data
by: Martínez, Asael Fabian, et al.
Published: (2024)

A unified analysis of likelihood-based estimators in the Plackett--Luce model
by: Han, Ruijian, et al.
Published: (2023)

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

The Bayesian optimal two-stage design for clinical phase II trials based on Bayes factors
by: Kelter, Riko, et al.
Published: (2025)

Empirical Bayes estimation: When does $g$-modeling beat $f$-modeling in theory (and in practice)?
by: Shen, Yandi, et al.
Published: (2022)

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

Low-order outcomes and clustered designs: combining design and analysis for causal inference under network interference
by: Eichhorn, Matthew, et al.
Published: (2024)

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

On the inverse of covariance matrices for unbalanced crossed designs
by: Lyu, Ziyang, et al.
Published: (2025)

Estimation and model errors in Gaussian-process-based Sensitivity Analysis of functional outputs
by: Sáo, Yuri Taglieri, et al.
Published: (2025)

High-dimensional copula-based Wasserstein dependence
by: De Keyser, Steven, et al.
Published: (2024)

Statistical tests based on Renyi entropy estimation
by: Cadirci, Mehmet Siddik, et al.
Published: (2025)

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

A Unified Framework for Rerandomization using Quadratic Forms
by: Schindl, Kyle, et al.
Published: (2024)

New density/likelihood representations for Gibbs models based on generating functionals of point processes
by: Cronie, Ottmar
Published: (2024)

Smoothing the Conditional Value-at-Risk based Pickands Estimators
by: Li, Yizhou, et al.
Published: (2024)

Geometric quantile-based measures of multivariate distributional characteristics
by: Shin, Ha-Young, et al.
Published: (2024)

The Exact Risks of Reference Panel-based Regularized Estimators
by: Su, Buxin, et al.
Published: (2024)

A data-based notion of quantiles on Hadamard spaces
by: Shin, Ha-Young, et al.
Published: (2025)

A Unified Framework for Semiparametrically Efficient Semi-Supervised Learning
by: Xu, Zichun, et al.
Published: (2025)

Grouped Competition Test with Unified False Discovery Rate Control
by: Deng, Mingzhou, et al.
Published: (2025)

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

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

Propensity Score Augmentation in Matching-based Estimation of Causal Effects
by: Ulloa-Pérez, Ernesto, et al.
Published: (2024)

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

Cumulant-based approximation for fast and efficient prediction for species distribution
by: Komori, Osamu, et al.
Published: (2024)

Post-selection inference for e-value based confidence intervals
by: Xu, Ziyu, et al.
Published: (2022)

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

Estimation for multistate models subject to reporting delays and incomplete event adjudication with application to disability insurance
by: Buchardt, K., et al.
Published: (2023)

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

Quadratic Form based Multiple Contrast Tests for Comparison of Group Means
by: Sattler, Paavo, et al.
Published: (2024)

Wasserstein-based Minimax Estimation of Dependence in Multivariate Regularly Varying Extremes
by: Zhang, Xuhui, et al.
Published: (2023)

An autocovariance-based learning framework for high-dimensional functional time series
by: Chang, Jinyuan, et al.
Published: (2020)