Functional Sequential Treatment Allocation
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Publication:5881136
DOI10.1080/01621459.2020.1851236zbMath1506.62409arXiv1812.09408OpenAlexW3103938127MaRDI QIDQ5881136
Anders Bredahl Kock, David Preinerstorfer, Bezirgen Veliyev
Publication date: 9 March 2023
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1812.09408
robustnessmulti-armed banditsrandomized controlled trialssequential treatment allocationdistributional characteristicsminimax optimal expected regret
Applications of statistics to actuarial sciences and financial mathematics (62P05) Design of statistical experiments (62K99)
Cites Work
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- Program evaluation as a decision problem
- Batched bandit problems
- Asymptotic and bootstrap inference for inequality and poverty measures
- Edgeworth expansions and normalizing transforms for inequality measures
- Minimax regret treatment choice with covariates or with limited validity of experiments
- Statistical treatment choice based on asymmetric minimax regret criteria
- Inferring welfare maximizing treatment assignment under budget constraints
- The tight constant in the Dvoretzky-Kiefer-Wolfowitz inequality
- Generalized L-, M-, and R-statistics
- Exploration-exploitation tradeoff using variance estimates in multi-armed bandits
- Asymptotically efficient adaptive allocation rules
- Unequal inequalities. I, II
- Econometrics and decision theory
- Minimax regret treatment choice with finite samples
- Nonparametric estimation of distributional policy effects
- Robust Risk-Averse Stochastic Multi-armed Bandits
- Partial Distributional Policy Effects
- A Class of Decomposable Poverty Measures
- Some Generalized Functions for the Size Distribution of Income
- Large Sample Properties of Two Inequality Indices
- Quantile Maximization in Decision Theory*
- Asymptotics for Statistical Treatment Rules
- On a Class of Poverty Measures
- Poverty: An Ordinal Approach to Measurement
- Marginal Mean Models for Dynamic Regimes
- Bootstrap Tests for Distributional Treatment Effects in Instrumental Variable Models
- Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality
- Who Should Be Treated? Empirical Welfare Maximization Methods for Treatment Choice
- Optimal Dynamic Treatment Regimes
- Large Sample Theory of Some Measures of Income Inequality
- Sample mean based index policies by O(log n) regret for the multi-armed bandit problem
- Policy Learning With Observational Data
- Double/debiased machine learning for treatment and structural parameters
- Bandit Algorithms
- The Generalized Beta Distribution as a Model for the Distribution of Income: Estimation of Related Measures of Inequality
- An IV Model of Quantile Treatment Effects
- Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems
- Inference on Counterfactual Distributions
- Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings
- Some aspects of the sequential design of experiments
- Treatment Choice With Trial Data: Statistical Decision Theory Should Supplant Hypothesis Testing
- Finite-time analysis of the multiarmed bandit problem