Replication files for all numerical results in Jun and Lee (2023, AISTATS).
This folder contains files to replicate results from the following paper:
Sung Jae Jun and Sokbae Lee. 2023. Average Adjusted Association: Efficient Estimation with High Dimensional Confounders. https://arxiv.org/abs/2205.14048. Accepted for presentation at the 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2023).
The latest version of the paper is included in this Github repository (see paper.pdf).
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The numerical results are produced using R.
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First, download this repository.
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Before running the R code, it is necessary to set the working directory in each R file. For example, the following sets the directory at "experiments":
# need to set the working directory
setwd("experiments")-
The data files are in the subdirectory "data".
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The R source code is in the subdirectory "src".
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The estimation results are saved in the subdirectory "results".
Sung Jae Jun and Sokbae Lee. 2023. Average Adjusted Association: Efficient Estimation with High Dimensional Confounders. https://arxiv.org/abs/2205.14048. Accepted for presentation at the 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2023).