Trend decomposition aids forecasts of air particulate matter (PM2.5) assisted by machine and deep learning without recourse to exogenous data
David A. Wood
Topics & Concepts
OverfittingUnivariateStatisticsTime seriesLinear regressionAutoregressive modelComputer scienceMachine learningArtificial intelligenceEconometricsMultivariate statisticsMathematicsArtificial neural networkAir Quality Monitoring and ForecastingAir Quality and Health ImpactsVehicle emissions and performance