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FORECASTING IN HIGH-DIMENSION: INFLATION AND OTHER ECONOMIC VARIABLES
Author(s) -
GABRIEL FILIPE RODRIGUES VASCONCELOS
Publication year - 2018
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.17771/pucrio.acad.35237
Subject(s) - lasso (programming language) , inflation (cosmology) , dimension (graph theory) , random forest , econometrics , feature selection , variable (mathematics) , computer science , economic forecasting , set (abstract data type) , machine learning , economics , artificial intelligence , mathematics , physics , theoretical physics , pure mathematics , mathematical analysis , world wide web , programming language

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