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Authors
Tomu Hirata (0009-0006-3140-291X), Undral Byambadalai, Tatsushi Oka, Shota Yasui
Citation
Hirata et al., (2026). dte_adj: A Python Package for Estimating Distributional Treatment Effects in Randomized Experiments. Journal of Open Source Software, 11(126), 11047, https://doi.org/10.21105/joss.11047
@article{Hirata2026,
doi = {10.21105/joss.11047},
url = {https://doi.org/10.21105/joss.11047},
year = {2026},
publisher = {The Open Journal},
volume = {11},
number = {126},
pages = {11047},
author = {Hirata, Tomu and Byambadalai, Undral and Oka, Tatsushi and Yasui, Shota},
title = {dte_adj: A Python Package for Estimating Distributional Treatment Effects in Randomized Experiments},
journal = {Journal of Open Source Software}
}
Tags
randomized experiments causal inference distributional treatment effects machine learning variance reduction
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