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Hailfinder: A Bayesian system for forecasting severe weather

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  • Abramson, Bruce
  • Brown, John
  • Edwards, Ward
  • Murphy, Allan
  • Winkler, Robert L.

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Suggested Citation

  • Abramson, Bruce & Brown, John & Edwards, Ward & Murphy, Allan & Winkler, Robert L., 1996. "Hailfinder: A Bayesian system for forecasting severe weather," International Journal of Forecasting, Elsevier, vol. 12(1), pages 57-71, March.
    • Handle: RePEc:eee:intfor:v:12:y:1996:i:1:p:57-71
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    References listed on IDEAS

    as
    1. Abramson, Bruce & Finizza, Anthony, 1995. "Probabilistic forecasts from probabilistic models: A case study in the oil market," International Journal of Forecasting, Elsevier, vol. 11(1), pages 63-72, March.
    2. Izhar Matzkevich & Bruce Abramson, 1995. "Decision Analytic Networks in Artificial Intelligence," Management Science, INFORMS, vol. 41(1), pages 1-22, January.
    3. Abramson, Bruce & Finizza, Anthony, 1991. "Using belief networks to forecast oil prices," International Journal of Forecasting, Elsevier, vol. 7(3), pages 299-315, November.
    4. Murphy, Allan H. & Winkler, Robert L., 1992. "Diagnostic verification of probability forecasts," International Journal of Forecasting, Elsevier, vol. 7(4), pages 435-455, March.
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    Cited by:

    1. Wang, Changzhang & Zhou, You & Zhao, Qiang & Geng, Zhi, 2014. "Discovering and orienting the edges connected to a target variable in a DAG via a sequential local learning approach," Computational Statistics & Data Analysis, Elsevier, vol. 77(C), pages 252-266.
    2. Regnier, Eva, 2008. "Doing something about the weather," Omega, Elsevier, vol. 36(1), pages 22-32, February.
    3. Hao Zuo & Jinshen Jiang & Yun Zhou, 2024. "DAGOR: Learning DAGs via Topological Sorts and QR Factorization," Mathematics, MDPI, vol. 12(8), pages 1-16, April.
    4. Langseth, Helge & Portinale, Luigi, 2007. "Bayesian networks in reliability," Reliability Engineering and System Safety, Elsevier, vol. 92(1), pages 92-108.
    5. Xu, Ping-Feng & Guo, Jianhua & Tang, Man-Lai, 2011. "Structural learning for Bayesian networks by testing complete separators in prime blocks," Computational Statistics & Data Analysis, Elsevier, vol. 55(12), pages 3135-3147, December.
    6. Mark Borsuk & Robert Clemen & Lynn Maguire & Kenneth Reckhow, 2001. "Stakeholder Values and Scientific Modeling in the Neuse River Watershed," Group Decision and Negotiation, Springer, vol. 10(4), pages 355-373, July.
    7. Kazim Topuz & Hasmet Uner & Asil Oztekin & Mehmet Bayram Yildirim, 2018. "Predicting pediatric clinic no-shows: a decision analytic framework using elastic net and Bayesian belief network," Annals of Operations Research, Springer, vol. 263(1), pages 479-499, April.
    8. Robert T. Clemen & Canan Ulu, 2008. "Interior Additivity and Subjective Probability Assessment of Continuous Variables," Management Science, INFORMS, vol. 54(4), pages 835-851, April.

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