Economic Recession Forecasts Using Machine Learning Models Based on the Evidence from the COVID-19 Pandemic

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ISSN Print: 2152-7245
ISSN Online: 2152-7261
www.scirp.org/journal/me
E-mail: me@scirp.org

"Economic Recession Forecasts Using Machine Learning Models Based on the Evidence from the COVID-19 Pandemic"
written by Yuhuan Huang, Erik S. Yan,
published by Modern Economy, Vol.14 No.7, 2023

has been cited by the following article(s):

[1]	Winter Is Coming? How to Anticipate a Recession Based On the Knut Wicksell's Rate of Interest theory

[1]	Recession From Declination of Economic Activities Dictated by Conditional Probabilities 2024 International Conference on Electrical, Computer and Energy Technologies (ICECET, 2024 DOI:10.1109/ICECET61485.2024.10698661

[2]	Phenomenological Recession: From Gaussian to Bayesian Probability 2024 International Conference on Electrical, Communication and Computer Engineering (ICECCE), 2024 DOI:10.1109/ICECCE63537.2024.10823463

[3]	Recession Forecasting: Domain-Specific Feature Selection Methodology 2024 First International Conference for Women in Computing (InCoWoCo), 2024 DOI:10.1109/InCoWoCo64194.2024.10863786

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