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Found 6 papers, 2 papers with code
When should you adjust inferences for multiple hypothesis testing?
Multiple hypothesis testing practices vary widely, without consensus on which are appropriate when.
Green governments
We examine how Green governments influence environmental, macroeconomic, and education outcomes.
Bias correction for quantile regression estimators
We derive a higher-order stochastic expansion of these estimators using empirical process theory.
Detecting p-hacking
We theoretically analyze the problem of testing for $p$-hacking based on distributions of $p$-values across multiple studies.
A $t$-test for synthetic controls
We propose a practical and robust method for making inferences on average treatment effects estimated by synthetic controls.
Exact and Robust Conformal Inference Methods for Predictive Machine Learning With Dependent Data
We extend conformal inference to general settings that allow for time series data.
