ensembleBMA

R package ensembleBMA: Probabilistic Forecasting using Ensembles and Bayesian Model Averaging. Bayesian Model Averaging to create probabilistic forecasts from ensemble forecasts and weather observations.

Keywords for this software

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References in zbMATH (referenced in 4 articles )

Showing results 1 to 4 of 4.
Sorted by year (citations)

  1. Annette Möller, Jürgen Groß: Probabilistic Temperature Forecasting with a Heteroscedastic Autoregressive Ensemble Postprocessing model (2019) arXiv
  2. Alexander Jordan, Fabian Krueger, Sebastian Lerch: Evaluating probabilistic forecasts with the R package scoringRules (2017) arXiv
  3. Baran, Sándor: Probabilistic wind speed forecasting using Bayesian model averaging with truncated normal components (2014)
  4. Brentnall, Adam R.; Crowder, Martin J.; Hand, David J.: Approximate repeated-measures shrinkage (2011)