Multiple treatment effect estimation for business analytics using observational data

Multiple treatment effect estimation for business analytics using observational data

AbstractTo correctly evaluate the effects of treatments, conducting randomized controlled trials (RCTs) is a reasonable approach. However, because it is generally difficult to implement RCTs for all treatments, methods to estimate the treatment effects using observational data have been actively stu...

Full description

Bibliographic Details
Main Authors: Yuki Tsuboi, Yuta Sakai, Ryotaro Shimizu, Masayuki Goto
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Cogent Engineering
Subjects:
E-commerce marketing
causal inference
variational autoencoder
machine learning
business analytics
treatment effect
Online Access:https://www.tandfonline.com/doi/10.1080/23311916.2023.2300557

Internet

https://www.tandfonline.com/doi/10.1080/23311916.2023.2300557

Similar Items