Cover Image

Optimal Decision Rules Under Partial Identification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Yata, Kohei
Format:	Preprint
Published:	2021
Subjects:	Econometrics Statistics Theory Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimal estimation for regression discontinuity design with binary outcomes
by: Ishihara, Takuya, et al.
Published: (2025)

Partial Identification under Stratified Randomization
by: Ferman, Bruno, et al.
Published: (2026)

Partial Identification of Causal Effects for Endogenous Continuous Treatments
by: Dalal, Abhinandan, et al.
Published: (2025)

Sequential Scoring Rule Evaluation for Forecast Method Selection
by: Frazier, David T., et al.
Published: (2025)

Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference
by: Qu, Zhaonan, et al.
Published: (2021)

Compound Selection Decisions: An Almost SURE Approach
by: Chen, Jiafeng, et al.
Published: (2025)

Regression Model Selection Under General Conditions
by: Lusompa, Amaze
Published: (2025)

Minimax and Bayes Optimal Best-Arm Identification
by: Kato, Masahiro
Published: (2025)

Nonparametric Identification of Demand without Exogenous Product Characteristics
by: Borusyak, Kirill, et al.
Published: (2025)

Optimal testing in a class of nonregular models
by: Shimizu, Yuya, et al.
Published: (2024)

An Optimal Transport Approach to Estimating Causal Effects via Nonlinear Difference-in-Differences
by: Torous, William, et al.
Published: (2021)

Selecting the Best Arm in One-Shot Multi-Arm RCTs: The Asymptotic Minimax-Regret Decision Framework for the Best-Population Selection Problem
by: Joo, Joonhwi
Published: (2025)

Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget
by: Kato, Masahiro
Published: (2023)

Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances
by: Kato, Masahiro
Published: (2023)

Optimal Decision Rules when Payoffs are Partially Identified
by: Christensen, Timothy, et al.
Published: (2022)

The Role of Contextual Information in Best Arm Identification
by: Kato, Masahiro, et al.
Published: (2021)

Optimal Conditional Inference in Adaptive Experiments
by: Chen, Jiafeng, et al.
Published: (2023)

Reinforcing RCTs with Multiple Priors while Learning about External Validity
by: Finan, Frederico, et al.
Published: (2021)

Integrating Heterogeneous Information in Randomized Experiments: A Unified Calibration Framework
by: Ma, Wei, et al.
Published: (2026)

Beyond the Oracle Property: Adaptive LASSO in Cointegrating Regressions with Local-to-Unity Regressors
by: Reichold, Karsten, et al.
Published: (2025)

Statistically Significant Linear Regression Coefficients Solely Driven By Outliers In Finite-sample Inference
by: Reichel, Felix
Published: (2025)

A Test for Jumps in Metric-Space Conditional Means
by: Van Dijcke, David
Published: (2025)

Robust Semiparametric Inference for Bayesian Additive Regression Trees
by: Breunig, Christoph, et al.
Published: (2025)

Estimation and Inference for CP Tensor Factor Models
by: Chen, Bin, et al.
Published: (2024)

Modewise Additive Factor Model for Matrix Time Series
by: Chen, Elynn, et al.
Published: (2025)

Bias correction for Chatterjee's graph-based correlation coefficient
by: Azadkia, Mona, et al.
Published: (2025)

A Note on the Finite Sample Bias in Time Series Cross-Validation
by: Lusompa, Amaze
Published: (2025)

Learning What to Learn: Experimental Design when Combining Experimental with Observational Evidence
by: Epanomeritakis, Aristotelis, et al.
Published: (2025)

Nonlinear Binscatter Methods
by: Cattaneo, Matias D., et al.
Published: (2024)

Cutting Feedback in Misspecified Copula Models
by: Smith, Michael Stanley, et al.
Published: (2023)

Causal Interpretation of Regressions With Ranks
by: Lei, Lihua
Published: (2024)

Evaluating Policy Effects under Network Interference without Network Information: A Transfer Learning Approach
by: Hoshino, Tadao
Published: (2025)

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

Comparing latent inequality with ordinal data
by: Kaplan, David M., et al.
Published: (2025)

Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials
by: Oka, Tatsushi, et al.
Published: (2024)

IV regression with distribution-valued outcomes
by: Van Dijcke, David, et al.
Published: (2026)

On Robust Empirical Likelihood for Nonparametric Regression with Application to Regression Discontinuity Designs
by: Fang, Qin, et al.
Published: (2025)

Frequentist properties of Bayesian inequality tests
by: Kaplan, David M., et al.
Published: (2016)

A General Design-Based Framework and Estimator for Randomized Experiments
by: Harshaw, Christopher, et al.
Published: (2022)

Joint Quantile Shrinkage: A State-Space Approach toward Non-Crossing Bayesian Quantile Models
by: Kohns, David, et al.
Published: (2025)