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Bayesian spatial extreme value analysis to assess the changing risk of concurrent high temperatures across large portions of European cropland

Author

Listed:
  • Lelys Bravo Guenni
  • Susan J. Simmons
  • Benjamin A. Shaby
  • Brian J. Reich

Abstract

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Suggested Citation

  • Lelys Bravo Guenni & Susan J. Simmons & Benjamin A. Shaby & Brian J. Reich, 2012. "Bayesian spatial extreme value analysis to assess the changing risk of concurrent high temperatures across large portions of European cropland," Environmetrics, John Wiley & Sons, Ltd., vol. 23(8), pages 638-648, December.
    • Handle: RePEc:wly:envmet:v:23:y:2012:i:8:p:638-648
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    Cited by:

    1. Erin M. Schliep & Alan E. Gelfand & Jesús Abaurrea & Jesús Asín & María A. Beamonte & Ana C. Cebrián, 2021. "Long‐term spatial modelling for characteristics of extreme heat events," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 1070-1092, July.
    2. Samuel A. Morris & Brian J. Reich & Emeric Thibaud, 2019. "Exploration and Inference in Spatial Extremes Using Empirical Basis Functions," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 24(4), pages 555-572, December.
    3. John O'Sullivan & Conor Sweeney & Andrew C. Parnell, 2020. "Bayesian spatial extreme value analysis of maximum temperatures in County Dublin, Ireland," Environmetrics, John Wiley & Sons, Ltd., vol. 31(5), August.
    4. Reihaneh Entezari & Patrick E. Brown & Jeffrey S. Rosenthal, 2020. "Bayesian spatial analysis of hardwood tree counts in forests via MCMC," Environmetrics, John Wiley & Sons, Ltd., vol. 31(4), June.

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