
MODELS OF SCENARIO FORECASTING OF ECONOMIC CRISES ON THE BASIS OF HYBRID APPROACH
Author(s) -
Victoria M. Savinova,
Sergey Yarushev
Publication year - 2020
Publication title -
vestnik rossijskogo èkonomičeskogo universiteta imeni g. v. plehanova
Language(s) - English
Resource type - Journals
eISSN - 2587-9251
pISSN - 2413-2829
DOI - 10.21686/2413-2829-2020-1-32-38
Subject(s) - autoregressive integrated moving average , computer science , econometrics , inflation (cosmology) , macro , python (programming language) , recession , nairu , basis (linear algebra) , economic data , economic forecasting , time series , unemployment rate , unemployment , macroeconomics , economics , machine learning , mathematics , physics , geometry , theoretical physics , programming language , operating system