Open AccessForecasting the Gross Domestic Product of the Philippines using Bayesian artificial neural network and autoregressive integrated moving average
Author(s) -
Jackie D. Urrutia,
Paul Ryan A. Longhas,
Francis Leo T. Mingo
Publication year - 2019
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 - 10.1063/1.5139182
Subject(s) - autoregressive integrated moving average , gross domestic product , artificial neural network , bayesian probability , econometrics , mean squared error , statistics , quarter (canadian coin) , autoregressive model , box–jenkins , statistical hypothesis testing , computer science , mathematics , time series , artificial intelligence , economics , geography , archaeology , economic growth
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