Open AccessRandom forest regression for statistical modeling and forecasting of PM10
Author(s) -
Atanas Ivanov,
Snezhana Gocheva-Ilieva,
Maya Stoimenova-Minova
Publication year - 2022
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/5.0101189
Subject(s) - random forest , autoregressive integrated moving average , environmental science , wind speed , meteorology , time series , air pollution , box–jenkins , regression analysis , statistical model , statistics , particulates , term (time) , computer science , mathematics , geography , machine learning , ecology , chemistry , physics , organic chemistry , quantum mechanics , biology
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