R package forecast: Forecasting functions for time series and linear models , Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling. (Source:

References in zbMATH (referenced in 36 articles )

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  1. Barrow, Devon; Kourentzes, Nikolaos: The impact of special days in call arrivals forecasting: a neural network approach to modelling special days (2018)
  2. Norwood, Ben; Killick, Rebecca: Long memory and changepoint models: a spectral classification procedure (2018)
  3. Sagaert, Yves R.; Aghezzaf, El-Houssaine; Kourentzes, Nikolaos; Desmet, Bram: Tactical sales forecasting using a very large set of macroeconomic indicators (2018)
  4. Hassani, Hossein; Silva, Emmanuel Sirimal; Ghodsi, Zara: Optimizing bicoid signal extraction (2017)
  5. Hua, Jia-Chen; Noorian, Farzad; Moss, Duncan; Leong, Philip H.W.; Gunaratne, Gemunu H.: High-dimensional time series prediction using kernel-based koopman mode regression (2017)
  6. Sadaei, Hossein Javedani; Guimarães, Frederico Gadelha; José da Silva, Cidiney; Lee, Muhammad Hisyam; Eslami, Tayyebeh: Short-term load forecasting method based on fuzzy time series, seasonality and long memory process (2017)
  7. Shang, Han Lin; Haberman, Steven: Grouped multivariate and functional time series forecasting: an application to annuity pricing (2017)
  8. Elatraby, Amr I.A.; Saad, Hisham Mohamed Abdelaziz: Forecasting the exchange rate of the Egyptian pound against the U.S. Dollar: an empirical study (2016)
  9. Neeraj Bokde, Kishore Kulat, Marcus W Beck, Gualberto Asencio-Cortes: R package imputeTestbench to compare imputations methods for univariate time series (2016) arXiv
  10. Risk, J.; Ludkovski, M.: Statistical emulators for pricing and hedging longevity risk products (2016)
  11. Hyndman, Rob J.: Discussion of “High-dimensional autocovariance matrices and optimal linear prediction” (2015)
  12. Launay, Tristan; Philippe, Anne; Lamarche, Sophie: Construction of an informative hierarchical prior for a small sample with the help of historical data and application to electricity load forecasting (2015)
  13. Wan, Cheng; Bertschi, Ljudmila: Swiss coherent mortality model as a basis for developing longevity de-risking solutions for Swiss pension funds: a practical approach (2015)
  14. Chapados, Nicolas; Joliveau, Marc; L’Ecuyer, Pierre; Rousseau, Louis-Martin: Retail store scheduling for profit (2014)
  15. Coelho, Leandro C.; Cordeau, Jean-François; Laporte, Gilbert: Heuristics for dynamic and stochastic inventory-routing (2014)
  16. Firmino, Paulo Renato A.; de Mattos Neto, Paulo S.G.; Ferreira, Tiago A.E.: Correcting and combining time series forecasters (2014)
  17. Froelich, Wojciech; Salmeron, Jose L.: Evolutionary learning of fuzzy grey cognitive maps for the forecasting of multivariate, interval-valued time series (2014)
  18. Bernardo Sánchez, Antonio; Ordóñez, Celestino; Sánchez Lasheras, Fernando; De Cos Juez, Francisco Javier; Roca-Pardiñas, Javier: Forecasting $\textSO_2$ pollution incidents by means of Elman artificial neural networks and ARIMA models (2013)
  19. Contreras-Reyes, Javier E.; Palma, Wilfredo: Statistical analysis of autoregressive fractionally integrated moving average models in R (2013)
  20. Debón, A.; Montes, F.; Sala, R.: Pricing reverse mortgages in Spain (2013)

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