@inproceedings{2d9d9c99059f418fbd3133bea06c7b17,
title = "Central Limit Theorem for a Randomized Quasi-Monte Carlo Estimator of a Smooth Function of Means",
abstract = "Consider estimating a known smooth function (such as a ratio) of unknown means. Our paper accomplishes this by first estimating each mean via randomized quasi-Monte Carlo and then evaluating the function at the estimated means. We prove that the resulting plug-in estimator obeys a central limit theorem by first establishing a joint central limit theorem for a triangular array of estimators of the vector of means and then employing the delta method.",
author = "Nakayama, \{Marvin K.\} and Bruno Tuffin and Pierre L'Ecuyer",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 Winter Simulation Conference, WSC 2025 ; Conference date: 07-12-2025 Through 10-12-2025",
year = "2025",
doi = "10.1109/WSC68292.2025.11338998",
language = "English (US)",
series = "Proceedings - Winter Simulation Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "307--317",
booktitle = "2025 Winter Simulation Conference, WSC 2025",
address = "United States",
}