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Determining an optimal hierarchical forecasting model based on the characteristics of the data set: Technical note
16 references·1 citing·40 second hop
Determining an optimal hierarchical forecasting model based on the characteristics of the data set: Technical note (2016)Determining an optimal hierarchical forec…Automatic time series forecasting: the forecast package for R (2017)Automatic time series forecas…The Sum and Its Parts: Judgmental Hierarchical Forecasting (2015)The Sum and Its Parts: Judgme…Optimal combination forecasts for hierarchical time series (2011)Optimal combination forecasts…Hierarchical forecasts for Australian domestic tourism (2008)Hierarchical forecasts for Au…Forecasting item-level demands: an analytical evaluation of top-down versus bottom-up forecasting in a production-planning framework (2008)Forecasting item-level demand…Automatic Time Series Forecasting: The forecast Package for R (2008)Automatic Time Series Forecas…The efficacy of using judgmental versus quantitative forecasting methods in practice (2003)The efficacy of using judgmen…Conducting a sales forecasting audit (2003)Conducting a sales forecastin…Forecasting Analogous Time Series (2001)Forecasting Analogous Time Se…Top-down or bottom-up: Aggregate versus disaggregate extrapolations (1992)Top-down or bottom-up: Aggreg…Disaggregation methods to expedite product line forecasting (1990)Disaggregation methods to exp…Top-down versus bottom-up forecasting strategies (1988)Top-down versus bottom-up for…Production and inventory management (1983)Production and inventory mana…Is Aggregation Necessarily Bad? (1960)Is Aggregation Necessarily Ba…Production planning and inventory control (1958)Production planning and inven…Linear Aggregation of Economic Relations. (1956)Linear Aggregation of Economi…Machine learning applications in hierarchical time series forecasting: Investigating the impact of promotions (2022)Machine learning applications…Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)‘Horses for Courses’ in demand forecasting (2014)Fast computation of reconciled forecasts for hierarchical and grouped time series (2015)Tourism forecasting: A review of methodological developments over the last decade (2018)The M3-Competition: results, conclusions and implications (2000)Supply chain forecasting: Theory, practice, their gap and the future (2015)Optimal Forecast Reconciliation for Hierarchical and Grouped Time Series Through Trace Minimization (2018)Retail forecasting: Research and practice (2019)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Another look at measures of forecast accuracy (2006)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)The Combination of Forecasts (1969)Time Series Analysis: Forecasting and Control (1977)Forecasting Economic Time Series (2000)The impact of aggregation level on forecasting performance (2004)Cluster-based hierarchical demand forecasting for perishable goods (2017)Forecast reconciliation: A geometric view with new insights on bias correction (2020)Estimating Nonresponse Bias in Mail Surveys (1977)Forecasting methods and applications (1993)Sensemaking in Organizations (1996)Demand Forecasting Behavior: System Neglect and Change Detection (2011)Integrating human judgement into quantitative forecasting methods: A review (2018)Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion (2021)The Customer Contact Approach to Services: Theoretical Bases and Practical Extensions (1981)Vendor‐managed inventory and bullwhip reduction in a two‐level supply chain (2003)Determinants of U.S. direct investment in the E.E.C. (1983)Heterogeneity and Aggregation (2005)A Theory of the Budgetary Process (1966)Aggregation of Variables in Dynamic Systems (1977)Real Wages over the Business Cycle: Evidence from Panel Data (1985)The tourism forecasting competition (2010)The M4 Competition: 100,000 time series and 61 forecasting methods (2019)M5 accuracy competition: Results, findings, and conclusions (2022)Economic Production Cycles with Imperfect Production Processes (1986)The Distribution Free Newsboy Problem: Review and Extensions (1993)Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information (2000)
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  • 2011Optimal combination forecasts for hierarchical time series471 cited
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  • 1990Disaggregation methods to expedite product line forecasting139 cited
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  • 2008Forecasting item-level demands: an analytical evaluation of top-down versus bottom-up forecasting in a production-planning framework

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  • 2022Machine learning applications in hierarchical time series forecasting: Investigating the impact of promotions32 cited