forecast

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: http://cran.r-project.org/web/packages)


References in zbMATH (referenced in 64 articles , 1 standard article )

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  1. Annette Möller, Jürgen Groß: Probabilistic Temperature Forecasting with a Heteroscedastic Autoregressive Ensemble Postprocessing model (2019) arXiv
  2. Rendon-Sanchez, Juan F.; de Menezes, Lilian M.: Structural combination of seasonal exponential smoothing forecasts applied to load forecasting (2019)
  3. Sophie Achard and Irène Gannaz: Wavelet-Based and Fourier-Based Multivariate Whittle Estimation: multiwave (2019) not zbMATH
  4. Andrés Villegas; Vladimir Kaishev; Pietro Millossovich: StMoMo: An R Package for Stochastic Mortality Modeling (2018) not zbMATH
  5. Barrow, Devon; Kourentzes, Nikolaos: The impact of special days in call arrivals forecasting: a neural network approach to modelling special days (2018)
  6. Chu, Ba; Huynh, Kim; Jacho-Chávez, David; Kryvtsov, Oleksiy: On the evolution of the united kingdom price distributions (2018)
  7. Golyandina, Nina; Korobeynikov, Anton; Zhigljavsky, Anatoly: Singular spectrum analysis with R (2018)
  8. Imbert, Alyssa; Vialaneix, Nathalie: Exploring, handling, imputing and evaluating missing data in statistical analyses: a review of existing approaches (2018)
  9. Mair, Patrick: Modern psychometrics with R (2018)
  10. Norwood, Ben; Killick, Rebecca: Long memory and changepoint models: a spectral classification procedure (2018)
  11. Petropoulos, Fotios; Hyndman, Rob J.; Bergmeir, Christoph: Exploring the sources of uncertainty: why does bagging for time series forecasting work? (2018)
  12. Sagaert, Yves R.; Aghezzaf, El-Houssaine; Kourentzes, Nikolaos; Desmet, Bram: Tactical sales forecasting using a very large set of macroeconomic indicators (2018)
  13. Salas-Molina, Francisco; Rodríguez-Aguilar, Juan A.; Serrà, Joan; Guillen, Montserrat; Martin, Francisco J.: Empirical analysis of daily cash flow time-series and its implications for forecasting (2018)
  14. Stojanović, Vladica; Randjelović, Dragan; Kuk, Kristijan: Noise-indicator nonnegative integer-valued autoregressive time series of the first order (2018)
  15. Athanasopoulos, George; Hyndman, Rob J.; Kourentzes, Nikolaos; Petropoulos, Fotios: Forecasting with temporal hierarchies (2017)
  16. Hassani, Hossein; Silva, Emmanuel Sirimal; Ghodsi, Zara: Optimizing bicoid signal extraction (2017)
  17. Hassler, Michael: Heuristic decision rules for short-term trading of renewable energy with co-located energy storage (2017)
  18. 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)
  19. 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)
  20. Shang, Han Lin; Haberman, Steven: Grouped multivariate and functional time series forecasting: an application to annuity pricing (2017)

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