Forecast

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.

Keywords for this software

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References in zbMATH (referenced in 113 articles )

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  1. Abolghasemi, Mahdi; Hyndman, Rob J.; Spiliotis, Evangelos; Bergmeir, Christoph: Model selection in reconciling hierarchical time series (2022)
  2. Dutta, Bornali; Barman, Manash Pratim; Patowary, Arnab Narayan: Exponential smoothing state space innovation model for forecasting road accident deaths in India (2022)
  3. Hajirahimi, Zahra; Khashei, Mehdi: Series hybridization of parallel (SHOP) models for time series forecasting (2022)
  4. Hunter, Michael D.; Fatimah, Haya; Bornovalova, Marina A.: Two filtering methods of forecasting linear and nonlinear dynamics of intensive longitudinal data (2022)
  5. Kang, Yanfei; Cao, Wei; Petropoulos, Fotios; Li, Feng: Forecast with forecasts: diversity matters (2022)
  6. Liu, Congzheng; Letchford, Adam N.; Svetunkov, Ivan: Newsvendor problems: an integrated method for estimation and optimisation (2022)
  7. Saeed, Waddah: Frequency-based ensemble forecasting model for time series forecasting (2022)
  8. Santos-Fernandez, Edgar; Ver Hoef, Jay M.; Peterson, Erin E.; McGree, James; Isaak, Daniel J.; Mengersen, Kerrie: Bayesian spatio-temporal models for stream networks (2022)
  9. Trull, Oscar; García-Díaz, J. Carlos; Peiró-Signes, A.: Multiple seasonal STL decomposition with discrete-interval moving seasonalities (2022)
  10. Wei, Baolei; Xie, Naiming: On unified framework for continuous-time grey models: an integral matching perspective (2022)
  11. Arlt, Josef; Trcka, Peter: Automatic SARIMA modeling and forecast accuracy (2021)
  12. Arnerić, Josip: Multiple STL decomposition in discovering a multi-seasonality of intraday trading volume (2021)
  13. Cadena, Meitner; Denuit, Michel: A new measure of mortality differentials based on precedence probability (2021)
  14. Eckert, Florian; Hyndman, Rob J.; Panagiotelis, Anastasios: Forecasting Swiss exports using Bayesian forecast reconciliation (2021)
  15. Goel, Anubha; Mehra, Aparna: Robust omega ratio optimization using regular vines (2021)
  16. Kalantari, Mahdi: Forecasting COVID-19 pandemic using optimal singular spectrum analysis (2021)
  17. Kourentzes, Nikolaos; Athanasopoulos, George: Elucidate structure in intermittent demand series (2021)
  18. Ma, Shaohui; Fildes, Robert: Retail sales forecasting with meta-learning (2021)
  19. Ollech, Daniel: Seasonal adjustment of daily time series (2021)
  20. Puindi, António Casimiro; Silva, Maria Eduarda: Dynamic structural models with covariates for short-term forecasting of time series with complex seasonal patterns (2021)

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