0000000001026549

AUTHOR

David F. Hendry

0000-0002-8013-576x

showing 2 related works from this author

DETECTING VOLCANIC ERUPTIONS IN TEMPERATURE RECONSTRUCTIONS BY DESIGNED BREAK-INDICATOR SATURATION

2016

We present a methodology for detecting breaks at any point in time-series regression models using an indicator saturation approach, applied here to modelling climate change. Building on recent developments in econometric model selection for more variables than observations, we saturate a regression model with a full set of designed break functions. By selecting over these break functions using an extended general-to-specific algorithm, we obtain unbiased estimates of the break date and magnitude. Monte Carlo simulations confirm the approximate properties of the approach. We assess the methodology by detecting volcanic eruptions in a time series of Northern Hemisphere mean temperature spanni…

Economics and Econometricsgeographygeography.geographical_feature_category010504 meteorology & atmospheric sciencesModel selectionMonte Carlo methodNorthern HemisphereClimate changeRegression analysis01 natural sciencesPhysics::Geophysics010104 statistics & probabilityVolcanoClimatologyPaleoclimatologyEconomics0101 mathematicsMean radiant temperaturePhysics::Atmospheric and Oceanic Physics0105 earth and related environmental sciencesJournal of Economic Surveys
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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
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