Finely Stratified Rerandomization Designs
Fuente:
arXiv
Saved in:
| Main Author: | Cytrynbaum, Max |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Covariate Adjustment in Stratified Experiments
by: Cytrynbaum, Max
Published: (2023)
by: Cytrynbaum, Max
Published: (2023)
A New Design-Based Variance Estimator for Finely Stratified Experiments
by: Bai, Yuehao, et al.
Published: (2025)
by: Bai, Yuehao, et al.
Published: (2025)
On the Efficiency of Highly Stratified Experiments
by: Bai, Yuehao, et al.
Published: (2023)
by: Bai, Yuehao, et al.
Published: (2023)
A Combinatorial Central Limit Theorem for Stratified Randomization
by: Tuvaandorj, Purevdorj
Published: (2024)
by: Tuvaandorj, Purevdorj
Published: (2024)
Partial Identification under Stratified Randomization
by: Ferman, Bruno, et al.
Published: (2026)
by: Ferman, Bruno, et al.
Published: (2026)
Coupling Designs for Randomized Experiments with Complex Treatments
by: Cytrynbaum, Max, et al.
Published: (2026)
by: Cytrynbaum, Max, et al.
Published: (2026)
Robust Estimation and Inference for Categorical Data
by: Welz, Max
Published: (2024)
by: Welz, Max
Published: (2024)
Inference in Experiments with Matched Pairs and Imperfect Compliance
by: Bai, Yuehao, et al.
Published: (2023)
by: Bai, Yuehao, et al.
Published: (2023)
Inference for Linear Systems with Unknown Coefficients
by: Bai, Yuehao, et al.
Published: (2026)
by: Bai, Yuehao, et al.
Published: (2026)
Distributional Discontinuity Design
by: Schindl, Kyle, et al.
Published: (2026)
by: Schindl, Kyle, et al.
Published: (2026)
Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators
by: Cattaneo, Matias D., et al.
Published: (2022)
by: Cattaneo, Matias D., et al.
Published: (2022)
Multivariate Tie-breaker Designs
by: Morrison, Tim P., et al.
Published: (2022)
by: Morrison, Tim P., et al.
Published: (2022)
Nonlinear Binscatter Methods
by: Cattaneo, Matias D., et al.
Published: (2024)
by: Cattaneo, Matias D., et al.
Published: (2024)
A General Design-Based Framework and Estimator for Randomized Experiments
by: Harshaw, Christopher, et al.
Published: (2022)
by: Harshaw, Christopher, et al.
Published: (2022)
Estimation and Inference in Boundary Discontinuity Designs: Distance-Based Methods
by: Cattaneo, Matias D., et al.
Published: (2025)
by: Cattaneo, Matias D., et al.
Published: (2025)
On Robust Empirical Likelihood for Nonparametric Regression with Application to Regression Discontinuity Designs
by: Fang, Qin, et al.
Published: (2025)
by: Fang, Qin, et al.
Published: (2025)
Learning What to Learn: Experimental Design when Combining Experimental with Observational Evidence
by: Epanomeritakis, Aristotelis, et al.
Published: (2025)
by: Epanomeritakis, Aristotelis, et al.
Published: (2025)
Deep Learning for Individual Heterogeneity
by: Farrell, Max H., et al.
Published: (2020)
by: Farrell, Max H., et al.
Published: (2020)
Publication Design with Incentives in Mind
by: Jagadeesan, Ravi, et al.
Published: (2025)
by: Jagadeesan, Ravi, et al.
Published: (2025)
Convolution-t Distributions
by: Hansen, Peter Reinhard, et al.
Published: (2024)
by: Hansen, Peter Reinhard, et al.
Published: (2024)
Asymptotic Properties of the Maximum Likelihood Estimator for Markov-switching Observation-driven Models
by: Krabbe, Frederik
Published: (2024)
by: Krabbe, Frederik
Published: (2024)
A nonparametric test for diurnal variation in spot correlation processes
by: Christensen, Kim, et al.
Published: (2024)
by: Christensen, Kim, et al.
Published: (2024)
Expected Kullback-Leibler-based characterizations of score-driven updates
by: de Punder, Ramon, et al.
Published: (2024)
by: de Punder, Ramon, et al.
Published: (2024)
Estimation with Pairwise Observations
by: Chan, Felix, et al.
Published: (2024)
by: Chan, Felix, et al.
Published: (2024)
Data-Driven Tuning Parameter Selection for High-Dimensional Vector Autoregressions
by: Kock, Anders Bredahl, et al.
Published: (2024)
by: Kock, Anders Bredahl, et al.
Published: (2024)
Bubble Modeling and Tagging: A Stochastic Nonlinear Autoregression Approach
by: Yang, Xuanling, et al.
Published: (2024)
by: Yang, Xuanling, et al.
Published: (2024)
Uniform Estimation and Inference for Nonparametric Partitioning-Based M-Estimators
by: Cattaneo, Matias D., et al.
Published: (2024)
by: Cattaneo, Matias D., et al.
Published: (2024)
Local Identification in Instrumental Variable Multivariate Quantile Regression Models
by: Kono, Haruki
Published: (2024)
by: Kono, Haruki
Published: (2024)
An Introduction to Permutation Processes (version 0.5)
by: Han, Fang
Published: (2024)
by: Han, Fang
Published: (2024)
Locally Regular and Efficient Tests in Non-Regular Semiparametric Models
by: Lee, Adam
Published: (2024)
by: Lee, Adam
Published: (2024)
Limit theorems of matching estimators with a fixed number of matches
by: Chen, Songliang, et al.
Published: (2024)
by: Chen, Songliang, et al.
Published: (2024)
A sequential test procedure for the choice of the number of regimes in multivariate nonlinear models
by: Bucci, Andrea
Published: (2024)
by: Bucci, Andrea
Published: (2024)
On the consistency of bootstrap for matching estimators
by: Lin, Ziming, et al.
Published: (2024)
by: Lin, Ziming, et al.
Published: (2024)
On Asymptotic Optimality of Least Squares Model Averaging When True Model Is Included
by: Xu, Wenchao, et al.
Published: (2024)
by: Xu, Wenchao, et al.
Published: (2024)
Convolution Mode Regression
by: Finn, Eduardo Schirmer, et al.
Published: (2024)
by: Finn, Eduardo Schirmer, et al.
Published: (2024)
Testing Goodness-of-Fit for Conditional Distributions: A New Perspective based on Principal Component Analysis
by: Rui, Cui, et al.
Published: (2024)
by: Rui, Cui, et al.
Published: (2024)
Estimation of Integrated Volatility Functionals with Kernel Spot Volatility Estimators
by: Figueroa-López, José E., et al.
Published: (2024)
by: Figueroa-López, José E., et al.
Published: (2024)
On the Lower Confidence Band for the Optimal Welfare in Policy Learning
by: Ponomarev, Kirill, et al.
Published: (2024)
by: Ponomarev, Kirill, et al.
Published: (2024)
An unbounded intensity model for point processes
by: Christensen, Kim, et al.
Published: (2024)
by: Christensen, Kim, et al.
Published: (2024)
Extremal Quantiles under Two-Way Clustering
by: Chiang, Harold D., et al.
Published: (2024)
by: Chiang, Harold D., et al.
Published: (2024)
Similar Items
-
Covariate Adjustment in Stratified Experiments
by: Cytrynbaum, Max
Published: (2023) -
A New Design-Based Variance Estimator for Finely Stratified Experiments
by: Bai, Yuehao, et al.
Published: (2025) -
On the Efficiency of Highly Stratified Experiments
by: Bai, Yuehao, et al.
Published: (2023) -
A Combinatorial Central Limit Theorem for Stratified Randomization
by: Tuvaandorj, Purevdorj
Published: (2024) -
Partial Identification under Stratified Randomization
by: Ferman, Bruno, et al.
Published: (2026)