Who predicts better? A comparison of machine learning and econometrics in forecasting CO2 emissions from global shipping
Lang Xu, Jiyuan Wu, Ran Yan, Jihong Chen, Shanshan Fu
Topics & Concepts
Gradient boostingKrigingBoosting (machine learning)Volatility (finance)Computer scienceEconometricsRegressionMachine learningTime seriesArtificial intelligenceFeature (linguistics)Linear regressionRegression analysisGaussian processPredictive modellingProcess (computing)Variance (accounting)Feature selectionRandom forestGreenhouse gasSupport vector machineEconometric modelOperations researchProbabilistic forecastingMaritime Transport Emissions and EfficiencyVehicle emissions and performanceEnergy, Environment, and Transportation Policies