Bootstrap-Assisted Inference for Generalized Grenander-type Estimators
Fuente:
arXiv
Saved in:
| Main Authors: | Cattaneo, Matias D., Jansson, Michael, Nagasawa, Kenichi |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
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)
Continuity of the Distribution Function of the argmax of a Gaussian Process
by: Cattaneo, Matias D., et al.
Published: (2025)
by: Cattaneo, Matias D., et al.
Published: (2025)
Estimation and Inference in Boundary Discontinuity Designs: Location-Based Methods
by: Cattaneo, Matias D., et al.
Published: (2025)
by: Cattaneo, Matias D., et al.
Published: (2025)
Strong Approximations for Empirical Processes Indexed by Lipschitz Functions
by: Cattaneo, Matias D., et al.
Published: (2024)
by: Cattaneo, Matias D., et al.
Published: (2024)
Nonlinear Binscatter Methods
by: Cattaneo, Matias D., et al.
Published: (2024)
by: Cattaneo, Matias D., et al.
Published: (2024)
The Honest Truth About Causal Trees: Accuracy Limits for Heterogeneous Treatment Effect Estimation
by: Cattaneo, Matias D., et al.
Published: (2025)
by: Cattaneo, Matias D., et al.
Published: (2025)
Robust Estimation and Inference for Categorical Data
by: Welz, Max
Published: (2024)
by: Welz, Max
Published: (2024)
Sparse High-Dimensional Vector Autoregressive Bootstrap
by: Adamek, Robert, et al.
Published: (2023)
by: Adamek, Robert, et al.
Published: (2023)
Estimation and Inference for CP Tensor Factor Models
by: Chen, Bin, et al.
Published: (2024)
by: Chen, Bin, et al.
Published: (2024)
Inference for Forecasting Accuracy: Pooled versus Individual Estimators in High-dimensional Panel Data
by: Kutta, Tim, et al.
Published: (2025)
by: Kutta, Tim, et al.
Published: (2025)
Bayesian Modular Inference for Copula Models with Potentially Misspecified Marginals
by: Kock, Lucas, et al.
Published: (2026)
by: Kock, Lucas, et al.
Published: (2026)
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)
A General Design-Based Framework and Estimator for Randomized Experiments
by: Harshaw, Christopher, et al.
Published: (2022)
by: Harshaw, Christopher, et al.
Published: (2022)
Honest Inference for Stochastic Optimization
by: Takatsu, Kenta, et al.
Published: (2025)
by: Takatsu, Kenta, et al.
Published: (2025)
Inference on Consensus Ranking of Distributions
by: Kaplan, David M.
Published: (2024)
by: Kaplan, David M.
Published: (2024)
Robust Semiparametric Inference for Bayesian Additive Regression Trees
by: Breunig, Christoph, et al.
Published: (2025)
by: Breunig, Christoph, et al.
Published: (2025)
Nonparametric Uniform Inference in Binary Classification and Policy Values
by: Liu, Nan, et al.
Published: (2025)
by: Liu, Nan, et al.
Published: (2025)
Inference for Synthetic Controls via Refined Placebo Tests
by: Lei, Lihua, et al.
Published: (2024)
by: Lei, Lihua, et al.
Published: (2024)
Compound Estimation for Binomials
by: Chen, Yan, et al.
Published: (2025)
by: Chen, Yan, et al.
Published: (2025)
Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty
by: Liu, Kaizhao, et al.
Published: (2024)
by: Liu, Kaizhao, et al.
Published: (2024)
The Spurious Factor Dilemma: Robust Inference in Heavy-Tailed Elliptical Factor Models
by: Hu, Jiang, et al.
Published: (2025)
by: Hu, Jiang, et al.
Published: (2025)
Statistically Significant Linear Regression Coefficients Solely Driven By Outliers In Finite-sample Inference
by: Reichel, Felix
Published: (2025)
by: Reichel, Felix
Published: (2025)
Estimating Counterfactual Matrix Means with Short Panel Data
by: Lei, Lihua, et al.
Published: (2023)
by: Lei, Lihua, et al.
Published: (2023)
Estimation of High-dimensional Nonlinear Vector Autoregressive Models
by: Han, Yuefeng, et al.
Published: (2025)
by: Han, Yuefeng, et al.
Published: (2025)
Empirical Bayes When Estimation Precision Predicts Parameters
by: Chen, Jiafeng
Published: (2022)
by: Chen, Jiafeng
Published: (2022)
Estimation of the complier causal hazard ratio under dependent censoring
by: Crommen, Gilles, et al.
Published: (2025)
by: Crommen, Gilles, et al.
Published: (2025)
Efficient Difference-in-Differences Estimation when Outcomes are Missing at Random
by: Testa, Lorenzo, et al.
Published: (2025)
by: Testa, Lorenzo, et al.
Published: (2025)
Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference
by: Qu, Zhaonan, et al.
Published: (2021)
by: Qu, Zhaonan, et al.
Published: (2021)
Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials
by: Oka, Tatsushi, et al.
Published: (2024)
by: Oka, Tatsushi, et al.
Published: (2024)
An Optimal Transport Approach to Estimating Causal Effects via Nonlinear Difference-in-Differences
by: Torous, William, et al.
Published: (2021)
by: Torous, William, et al.
Published: (2021)
Bayesian Semiparametric Causal Inference: Targeted Doubly Robust Estimation of Treatment Effects
by: Sert, Gözde, et al.
Published: (2025)
by: Sert, Gözde, et al.
Published: (2025)
Local Projection Inference in High Dimensions
by: Adamek, Robert, et al.
Published: (2022)
by: Adamek, Robert, et al.
Published: (2022)
Regression Model Selection Under General Conditions
by: Lusompa, Amaze
Published: (2025)
by: Lusompa, Amaze
Published: (2025)
Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Cutting Feedback in Misspecified Copula Models
by: Smith, Michael Stanley, et al.
Published: (2023)
by: Smith, Michael Stanley, et al.
Published: (2023)
A Bootstrap-Assisted Self-Normalization Approach to Inference in Cointegrating Regressions
by: Reichold, Karsten, et al.
Published: (2022)
by: Reichold, Karsten, et al.
Published: (2022)
Sharp Structure-Agnostic Lower Bounds for General Linear Functional Estimation
by: Jin, Jikai, et al.
Published: (2025)
by: Jin, Jikai, et al.
Published: (2025)
On Rosenbaum's Rank-based Matching Estimator
by: Cattaneo, Matias D., et al.
Published: (2023)
by: Cattaneo, Matias D., et al.
Published: (2023)
Optimal Conditional Inference in Adaptive Experiments
by: Chen, Jiafeng, et al.
Published: (2023)
by: Chen, Jiafeng, et al.
Published: (2023)
Similar Items
-
Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators
by: Cattaneo, Matias D., et al.
Published: (2022) -
Estimation and Inference in Boundary Discontinuity Designs: Distance-Based Methods
by: Cattaneo, Matias D., et al.
Published: (2025) -
Continuity of the Distribution Function of the argmax of a Gaussian Process
by: Cattaneo, Matias D., et al.
Published: (2025) -
Estimation and Inference in Boundary Discontinuity Designs: Location-Based Methods
by: Cattaneo, Matias D., et al.
Published: (2025) -
Strong Approximations for Empirical Processes Indexed by Lipschitz Functions
by: Cattaneo, Matias D., et al.
Published: (2024)