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Integrated hierarchical forecasting
16 references·6 citing·42 second hop
Integrated hierarchical forecasting (2017)Integrated hierarchical forecastingSupply chain forecasting: Theory, practice, their gap and the future (2015)Supply chain forecasting: The…Fast computation of reconciled forecasts for hierarchical and grouped time series (2015)Fast computation of reconcile…Optimal combination forecasts for hierarchical time series (2011)Optimal combination forecasts…Forecasting the intermittent demand for slow-moving inventories: A modelling approach (2011)Forecasting the intermittent …Forecasting for inventory planning: a 50-year review (2009)Forecasting for inventory pla…Hierarchical forecasts for Australian domestic tourism (2008)Hierarchical forecasts for Au…Forecasting with Exponential Smoothing : The State Space Approach (2008)Forecasting with Exponential …Forecasting and operational research: a review (2008)Forecasting and operational r…Data Aggregation and Information Loss (2007)Data Aggregation and Informat…25 years of time series forecasting (2006)25 years of time series forec…Top-down or bottom-up: Aggregate versus disaggregate extrapolations (1992)Top-down or bottom-up: Aggreg…Forecasting, Structural Time Series Models and the Kalman Filter (1990)Forecasting, Structural Time …Disaggregation methods to expedite product line forecasting (1990)Disaggregation methods to exp…Forecasting Trends in Time Series (1985)Forecasting Trends in Time Se…Linear transformations of vector ARMA processes (1984)Linear transformations of vec…The Precision of National Income Estimates (1942)The Precision of National Inc…A novel multi-phase hierarchical forecasting approach with machine learning in supply chain management (2023)A novel multi-phase hierarchi…Machine learning applications in hierarchical time series forecasting: Investigating the impact of promotions (2022)Machine learning applications…A new taxonomy for vector exponential smoothing and its application to seasonal time series (2022)A new taxonomy for vector exp…Forecasting Swiss exports using Bayesian forecast reconciliation (2020)Forecasting Swiss exports usi…Assessing the Performance of Hierarchical Forecasting Methods on the Retail Sector (2019)Assessing the Performance of …Addressing endogeneity in aggregate logit models with time-varying parameters for optimal retail-pricing (2019)Addressing endogeneity in agg…Production and inventory management (1983)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)‘Horses for Courses’ in demand forecasting (2014)Tourism forecasting: A review of methodological developments over the last decade (2018)The M3-Competition: results, conclusions and implications (2000)Automatic Time Series Forecasting: The forecast Package for R (2008)Optimal Forecast Reconciliation for Hierarchical and Grouped Time Series Through Trace Minimization (2018)Retail forecasting: Research and practice (2019)Forecasting with Exponential Smoothing (2008)Grouped Functional Time Series Forecasting: An Application to Age-Specific Mortality Rates (2016)Automatic time series forecasting: the forecast package for R (2017)Temporal hierarchies with autocorrelation for load forecasting (2019)Demand forecasting in supply chains: a review of aggregation and hierarchical approaches (2021)Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)On the use of cross-validation for time series predictor evaluation (2012)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Time series forecasting of petroleum production using deep LSTM recurrent networks (2018)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction (2011)Intermittent demand: Linking forecasting to inventory obsolescence (2011)Variable Selection in Time Series Forecasting Using Random Forests (2017)Information Distortion in a Supply Chain: The Bullwhip Effect (1997)Supply Chain Management: Strategy, Planning and Operations (2000)Supply Chain Management: Strategy, Planning, and Operation (2003)Literature review: Strategic network optimization models in waste reverse supply chains (2018)Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion (2020)Machine learning demand forecasting and supply chain performance (2020)Prosperity and Depression (2002)Constructing SAMs for Development Policy Analysis: Lessons Learned and Challenges Ahead (2003)Chapter 14 Survey Expectations (2006)Holt-Winters Forecasting: Some Practical Issues (1988)Exponential smoothing with a damped multiplicative trend (2003)World Soybean Production: Area Harvested, Yield, and Long-Term Projections (2009)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Handbook on Constructing Composite Indicators (2005)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)A note on the validity of cross-validation for evaluating autoregressive time series prediction (2017)A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting (2019)An optimized model using LSTM network for demand forecasting (2020)
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References

  • 1990Forecasting, Structural Time Series Models and the Kalman Filter4,101 cited
  • 200625 years of time series forecasting1,589 cited
  • 2008Forecasting with Exponential Smoothing : The State Space Approach818 cited
  • 2011Optimal combination forecasts for hierarchical time series471 cited
  • 1985Forecasting Trends in Time Series399 cited
  • 2015Supply chain forecasting: Theory, practice, their gap and the future331 cited
  • 2008Forecasting and operational research: a review287 cited
  • 2008Hierarchical forecasts for Australian domestic tourism244 cited
  • 1942The Precision of National Income Estimates232 cited
  • 2015Fast computation of reconciled forecasts for hierarchical and grouped time series155 cited
  • 2009Forecasting for inventory planning: a 50-year review146 cited
  • 1990Disaggregation methods to expedite product line forecasting139 cited
  • 1992Top-down or bottom-up: Aggregate versus disaggregate extrapolations136 cited
  • 2011Forecasting the intermittent demand for slow-moving inventories: A modelling approach133 cited
  • 2007Data Aggregation and Information Loss111 cited
  • 1984

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Linear transformations of vector ARMA processes
101 cited

Cited by

  • 2023A novel multi-phase hierarchical forecasting approach with machine learning in supply chain management37 cited
  • 2019Assessing the Performance of Hierarchical Forecasting Methods on the Retail Sector36 cited
  • 2022Machine learning applications in hierarchical time series forecasting: Investigating the impact of promotions32 cited
  • 2020Forecasting Swiss exports using Bayesian forecast reconciliation32 cited
  • 2022A new taxonomy for vector exponential smoothing and its application to seasonal time series32 cited
  • 2019Addressing endogeneity in aggregate logit models with time-varying parameters for optimal retail-pricing8 cited