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A Bayesian technique for refining the uncertainty in global energy model forecasts

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  • Tschang, F. Ted
  • Dowlatabadi, Hadi

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  • Tschang, F. Ted & Dowlatabadi, Hadi, 1995. "A Bayesian technique for refining the uncertainty in global energy model forecasts," International Journal of Forecasting, Elsevier, vol. 11(1), pages 43-61, March.
  • Handle: RePEc:eee:intfor:v:11:y:1995:i:1:p:43-61
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    References listed on IDEAS

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    1. Edmonds, Jae & Reilly, John, 1983. "A long-term global energy- economic model of carbon dioxide release from fossil fuel use," Energy Economics, Elsevier, vol. 5(2), pages 74-88, April.
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    Cited by:

    1. Klaus Keller & Louise I. Miltich & Alexander Robinson & Richard S.J. Tol, 2007. "How overconfident are current projections of anthropogenic carbon dioxide emissions?," Working Papers FNU-124, Research unit Sustainability and Global Change, Hamburg University, revised Jan 2007.
    2. Dowlatabadi, Hadi, 1998. "Sensitivity of climate change mitigation estimates to assumptions about technical change," Energy Economics, Elsevier, vol. 20(5-6), pages 473-493, December.
    3. Abramson, Bruce & Clemen, Robert, 1995. "Probability forecasting," International Journal of Forecasting, Elsevier, vol. 11(1), pages 1-4, March.
    4. van Ruijven, Bas & de Vries, Bert & van Vuuren, Detlef P. & van der Sluijs, Jeroen P., 2010. "A global model for residential energy use: Uncertainty in calibration to regional data," Energy, Elsevier, vol. 35(1), pages 269-282.
    5. Dowlatabadi, Hadi & Oravetz, Matthew A., 2006. "US long-term energy intensity: Backcast and projection," Energy Policy, Elsevier, vol. 34(17), pages 3245-3256, November.
    6. DeCarolis, Joseph F., 2011. "Using modeling to generate alternatives (MGA) to expand our thinking on energy futures," Energy Economics, Elsevier, vol. 33(2), pages 145-152, March.

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