0000000001235218

AUTHOR

Jakub Bijak

0000-0002-2563-5040

showing 1 related works from this author

Forecasting : theory and practice

2022

Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. The large number of forecasting applications calls for a diverse set of forecasting methods to tackle real-life challenges. This article provides a non-systematic review of the theory and the practice of forecasting. We provide an overview of a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts. We then demonstrate how such theoretical concepts are applied in a varie…

FOS: Computer and information sciencesComputer Science - Machine LearningTime seriesEconomicsApplicationOther Engineering and Technologies not elsewhere specifiedEconometrics (econ.EM)HAMethodMachine Learning (stat.ML)ReviewStatistics - ApplicationsMachine Learning (cs.LG)FOS: Economics and businessBusiness and EconomicsStatistics - Machine LearningMethodsPrincipleREVIEWApplications (stat.AP)Övrig annan teknikN100Business and International ManagementNationalekonomiEconomics - EconometricsBusiness AdministrationFöretagsekonomiAPPLICATIONSOther Statistics (stat.OT)Wirtschaftswissenschaftenstat.OTStatistics - Other StatisticsComputer Science - Learning003: SystemePRINCIPLESecon.EMApplicationsMETHODSStatistics - Applications; Statistics - Applications; Computer Science - Learning; econ.EM; Statistics - Machine Learning; stat.OTEncyclopediaPredictionPrinciplesREVIEW ENCYCLOPEDIA METHODS APPLICATIONS PRINCIPLES TIME SERIES PREDICTIONForecasting
researchProduct