From Black Box to Shining Spotlight: Using Random Forest Prediction Intervals to Illuminate the Impact of Assumptions in Linear Regression

Autor:	Andrew J. Sage, Yang Liu, Joe Sato
Rok vydání:	2022
Předmět:	Statistics and Probability General Mathematics Statistics Probability and Uncertainty
Zdroj:	The American Statistician. 76:414-429
ISSN:	1537-2731 0003-1305
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3a702bb3452fcc787a5a2e59b6ca9429 https://doi.org/10.1080/00031305.2022.2107568 Zobrazit plný text záznamu