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Bibliographic Details
Main Author: Chaudhuri, Rohit
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2604.19352
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author Chaudhuri, Rohit
author_facet Chaudhuri, Rohit
contents This article discusses the application of stochastic intervention to find the optimal treatment distribution yielding a high value of expected potential outcome under the setting where the number of treatments is allowed to vary with $n$. The primary motivation is to obtain a novel summarization of the effect of various treatments which would guide practitioners towards better decision regarding which intervention to choose.
format Preprint
id arxiv_https___arxiv_org_abs_2604_19352
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Stochastic Intervention
Chaudhuri, Rohit
Statistics Theory
This article discusses the application of stochastic intervention to find the optimal treatment distribution yielding a high value of expected potential outcome under the setting where the number of treatments is allowed to vary with $n$. The primary motivation is to obtain a novel summarization of the effect of various treatments which would guide practitioners towards better decision regarding which intervention to choose.
title Stochastic Intervention
topic Statistics Theory
url https://arxiv.org/abs/2604.19352