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New estimation methods for extremal bivariate return curves. (2023). Wadsworth, J L ; Eastoe, E F ; C. J. R. Murphy‐Barltrop, .
In: Environmetrics.
RePEc:wly:envmet:v:34:y:2023:i:5:n:e2797.

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  1. Modelling non-stationarity in asymptotically independent extremes. (2024). Murphy-Barltrop, C. J. R., ; Wadsworth, J L.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:199:y:2024:i:c:s0167947324001099.

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  1. Balkema, A. A., & de Haan, L. (1974). Residual life time at great age. The Annals of Probability, 2(5), 792–804.
    Paper not yet in RePEc: Add citation now
  2. Baran, S., Szokol, P., & Szabó, M. (2021). Truncated generalized extreme value distribution‐based ensemble model output statistics model for calibration of wind speed ensemble forecasts. Environmetrics, 32, 1–24.
    Paper not yet in RePEc: Add citation now
  3. Coles, S. (2001). An introduction to statistical modeling of extreme values Springer Series in Statistics. Springer London.
    Paper not yet in RePEc: Add citation now
  4. Coles, S. G., & Tawn, J. A. (1991). Modelling extreme multivariate events. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 53(2), 377–392.
    Paper not yet in RePEc: Add citation now
  5. Coles, S., & Pauli, F. (2002). Models and inference for uncertainty in extremal dependence. Biometrika, 89(1), 183–196.

  6. Coles, S., Heffernan, J., & Tawn, J. (1999). Dependence measures for multivariate extremes. Extremes, 2(4), 339–365.
    Paper not yet in RePEc: Add citation now
  7. Cooley, D., Thibaud, E., Castillo, F., & Wehner, M. F. (2019). A nonparametric method for producing isolines of bivariate exceedance probabilities. Extremes, 22(3), 373–390.
    Paper not yet in RePEc: Add citation now
  8. de Haan, L., & de Ronde, J. (1998). Sea and wind: Multivariate extremes at work. Extremes, 1(1), 7–45.
    Paper not yet in RePEc: Add citation now
  9. de Haan, L., & Resnick, S. I. (1977). Limit theory for multivariate sample extremes. Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete, 40(4), 317–337.
    Paper not yet in RePEc: Add citation now
  10. Eastoe, E. F. (2019). Nonstationarity in peaks‐over‐threshold river flows: A regional random effects model. Environmetrics, 30(5), 1–18.

  11. Eastoe, E. F., & Tawn, J. A. (2009). Modelling non‐stationary extremes with application to surface level ozone. Journal of the Royal Statistical Society. Series C: Applied Statistics, 58(1), 25–45.

  12. Eckert‐Gallup, A., & Martin, N. (2016). Kernel density estimation (KDE) with adaptive bandwidth selection for environmental contours of extreme sea states. OCEANS 2016 MTS/IEEE Monterey, OCE 2016, (pp. 1–5).
    Paper not yet in RePEc: Add citation now
  13. Environmental Agency. (2005). CSG 15 final project report. Technical report. Department for Environment, Food and Rural Affairs.
    Paper not yet in RePEc: Add citation now
  14. Gouldby, B., Wyncoll, D., Panzeri, M., Franklin, M., Hunt, T., Hames, D., Tozer, N., Hawkes, P., Dornbusch, U., & Pullen, T. (2017). Multivariate extreme value modelling of sea conditions around the coast of England. Proceedings of the Institution of Civil Engineers: Maritime Engineering, 170(1), 3–20.
    Paper not yet in RePEc: Add citation now
  15. Groll, N., & Weisse, R. (2017). A multi‐decadal wind‐wave hindcast for the North Sea 1949‐2014: CoastDat2. Earth System Science Data, 9(2), 955–968.
    Paper not yet in RePEc: Add citation now
  16. Haselsteiner, A. F., Nguyen, P. T., Coe, R. G., Martin, N., Manuel, L., & Eckert‐Gallup, A. (2019). A benchmarking exercise on estimating extreme environmental conditions: Methodology and baseline results. Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering ‐ OMAE, 3, 1–10.
    Paper not yet in RePEc: Add citation now
  17. Heffernan, J. E., & Tawn, J. A. (2004). A conditional approach for multivariate extreme values. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 66(3), 497–546.

  18. Hill, B. M. (1975). A simple general approach to inference about the tail of a distribution. The Annals of Statistics, 3(5), 1163–1174.
    Paper not yet in RePEc: Add citation now
  19. Huser, R., & Wadsworth, J. L. (2019). Modeling spatial processes with unknown extremal dependence class. Journal of the American Statistical Association, 114(525), 434–444.

  20. Jonathan, P., Ewans, K., & Flynn, J. (2014). On the estimation of ocean engineering design contours. Journal of Offshore Mechanics and Arctic Engineering, 136(4), 1–8.
    Paper not yet in RePEc: Add citation now
  21. Keef, C., Papastathopoulos, I., & Tawn, J. A. (2013). Estimation of the conditional distribution of a multivariate variable given that one of its components is large: Additional constraints for the Heffernan and Tawn model. Journal of Multivariate Analysis, 115, 396–404.

  22. Kunsch, H. R. (1989). The jackknife and the bootstrap for general stationary observations. Annals of Statistics, 17, 1217–1241. https://doi.org/10.1214/aos/1176347265.
    Paper not yet in RePEc: Add citation now
  23. Ledford, A. W., & Tawn, J. A. (1996). Statistics for near independence in multivariate extreme values. Biometrika, 83(1), 169–187.
    Paper not yet in RePEc: Add citation now
  24. Ledford, A. W., & Tawn, J. A. (1997). Modelling dependence within joint tail regions. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 59(2), 475–499.

  25. Mackay, E., & Jonathan, P. (2020). Assessment of return value estimates from stationary and non‐stationary extreme value models. Ocean Engineering, 207, 107406.
    Paper not yet in RePEc: Add citation now
  26. Manuel, L., Nguyen, P. T., Canning, J., Coe, R. G., Eckert‐Gallup, A. C., & Martin, N. (2018). Alternative approaches to develop environmental contours from metocean data. Journal of Ocean Engineering and Marine Energy, 4(4), 293–310.
    Paper not yet in RePEc: Add citation now
  27. Marcon, G., Naveau, P., & Padoan, S. (2017). A semi‐parametric stochastic generator for bivariate extreme events. Stat, 6(1), 184–201.
    Paper not yet in RePEc: Add citation now
  28. Mattei, J., Vial, E., Rebour, V., Liemersdorf, H., & Turschmann, M. (2001). Generic results and conclusions of re‐evaluating the flooding protection in French and German nuclear power plants. Eurosafe, 1999, 1–18.
    Paper not yet in RePEc: Add citation now
  29. Mhalla, L., Opitz, T., & Chavez‐Demoulin, V. (2019). Exceedance‐based nonlinear regression of tail dependence. Extremes, 22(3), 523–552.
    Paper not yet in RePEc: Add citation now
  30. Murphy‐Barltrop, C. J. R., & Wadsworth, J. L. (2022). Modelling non‐stationarity in asymptotically independent extremes. arXiv, 2203.05860.
    Paper not yet in RePEc: Add citation now
  31. Pickands, J. (1975). Statistical Inference Using Extreme Order Statistics. The Annals of Statistics, 3(1), 119–131.
    Paper not yet in RePEc: Add citation now
  32. Politis, D. N., & Romano, J. P. (1994). The stationary bootstrap. Journal of the American Statistical Association, 89, 1303–1313.
    Paper not yet in RePEc: Add citation now
  33. Ramos, A., & Ledford, A. (2009). A new class of models for bivariate joint tails. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 71(1), 219–241.

  34. Resnick, S. (2002). Hidden regular variation, second order regular variation and asymptotic independence. Extremes, 5(4), 303–336.
    Paper not yet in RePEc: Add citation now
  35. Resnick, S. I. (1987). Extreme values, regular variation and point processes Springer Series in Operations Research and Financial Engineering. Springer New York.
    Paper not yet in RePEc: Add citation now
  36. Salvadori, G., & De Michele, C. (2004). Frequency analysis via copulas: Theoretical aspects and applications to hydrological events. Water Resources Research, 40(12), 1–17.
    Paper not yet in RePEc: Add citation now
  37. Serinaldi, F. (2015). Dismissing return periods! Stochastic Environmental Research and Risk Assessment, 29(4), 1179–1189.
    Paper not yet in RePEc: Add citation now
  38. Shooter, R., Ross, E., Ribal, A., Young, I. R., & Jonathan, P. (2021). Spatial dependence of extreme seas in the north east Atlantic from satellite altimeter measurements. Environmetrics, 32, 1–15.

  39. Simpson, E. S. and Wadsworth, J. L. (2017). Introduction to extreme value theory and constructing hazard curves. Technical report, Office for Nuclear Regulation, https://www.onr.org.uk/documents/2017/onr‐rrr‐054.pdf.
    Paper not yet in RePEc: Add citation now
  40. Simpson, E. S., & Wadsworth, J. L. (2021). Conditional modelling of spatio‐temporal extremes for red sea surface temperatures. Spatial. Statistics, 41, 1–17.
    Paper not yet in RePEc: Add citation now
  41. Stephenson, A. (2002). EVD: Extreme value distributions. R News, 2(2), 1–88.
    Paper not yet in RePEc: Add citation now
  42. Tawn, J. A. (1988). Bivariate extreme value theory: Models and estimation. Biometrika, 75(3), 397–415.
    Paper not yet in RePEc: Add citation now
  43. Tendijck, S., Eastoe, E., Tawn, J., Randell, D., and Jonathan, P. (2021). Modeling the extremes of bivariate mixture distributions with application to oceanographic data. Journal of the American Statistical Association, 2021, 1–12.
    Paper not yet in RePEc: Add citation now
  44. Tilloy, A., Malamud, B. D., Winter, H., & Joly‐Laugel, A. (2020). Evaluating the efficacy of bivariate extreme modelling approaches for multi‐hazard scenarios. Natural Hazards and Earth System Sciences, 20, 2091–2117.
    Paper not yet in RePEc: Add citation now
  45. Vanem, E., Guo, B., Ross, E., & Jonathan, P. (2020). Comparing different contour methods with response‐based methods for extreme ship response analysis. Marine Structures, 69(2019), 102680.
    Paper not yet in RePEc: Add citation now
  46. Velarde, J., Vanem, E., Kramhøft, C., & Sørensen, J. D. (2019). Probabilistic analysis of offshore wind turbines under extreme resonant response: Application of environmental contour method. Applied Ocean Research, 93, 101947.
    Paper not yet in RePEc: Add citation now
  47. Wadsworth, J. L., & Tawn, J. A. (2013). A new representation for multivariate tail probabilities. Bernoulli, 19(5B), 2689–2714.
    Paper not yet in RePEc: Add citation now
  48. Wadsworth, J. L., Tawn, J. A., Davison, A. C., & Elton, D. M. (2017). Modelling across extremal dependence classes. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 79(1), 149–175.

  49. Worms, J., & Naveau, P. (2022). Record events attribution in climate studies. Environmetrics, 33(8), 1–16.

  50. Yu, C., Blaha, O., Kane, M., Wei, W., Esserman, D., & Zelterman, D. (2022). Regression methods for the appearances of extremes in climate data. Environmetrics, 33, 1–14.

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