15 citations · 49 across the 22 of their papers we have counts for
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stat.ML2025
Empirical Likelihood for Random Forests and Ensembles
Harold D. Chiang, Yukitoshi Matsushita, Taisuke Otsu
We develop an empirical likelihood (EL) framework for random forests and related ensemble methods, providing a likelihood-based approach to quantify their statistical uncertainty.…
econ.EM2025
Enhancing the Merger Simulation Toolkit with ML/AI
Harold D. Chiang, Jack Collison, Lorenzo Magnolfi +1
This paper develops a flexible approach to predict the price effects of horizontal mergers using ML/AI methods. While standard merger simulation techniques rely on restrictive assu…
econ.EM2025
Maximal Inequalities for Separately Exchangeable Empirical Processes
Harold D. Chiang
This paper derives new maximal inequalities for empirical processes associated with separately exchangeable random arrays. For fixed index dimension , we establish a global…