Exploring modern machine learning methods to improve causal-effect estimation

Autor:	Yeji Kim, Taehwa Choi, Sangbum Choi
Rok vydání:	2022
Předmět:	Statistics and Probability Applied Mathematics Modeling and Simulation Statistics Probability and Uncertainty Finance
Zdroj:	Communications for Statistical Applications and Methods. 29:177-191
ISSN:	2383-4757 2287-7843
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::563f2e7e9ad8f173423cf287b056f248 https://doi.org/10.29220/csam.2022.29.2.177 Zobrazit plný text záznamu