FORECASTING INDUSTRIAL PRODUCTION IN BRAZIL USING MANY PREDICTORS
Author(s) -
LEONARDO DE PAOLI CARDOSO DE CASTRO
Publication year - 2016
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.17771/pucrio.acad.28515
Subject(s) - benchmark (surveying) , lasso (programming language) , production (economics) , econometrics , variable (mathematics) , industrial production , index (typography) , selection (genetic algorithm) , regression , operator (biology) , regression analysis , statistics , computer science , mathematics , machine learning , economics , geography , macroeconomics , mathematical analysis , biochemistry , chemistry , geodesy , repressor , world wide web , transcription factor , keynesian economics , gene
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