A Bayesian hierarchical model for spatial extremes with multiple durations

Computational Statistics & Data Analysis, pp. 39-56, 2016.

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Abstract:

Bayesian spatial modeling of extreme values has become increasingly popular due to its ability to obtain relevant uncertainty measures for the estimates. This has implications for the problem of limited data on the study of extreme climatological events. Noticing the abundance of non-daily environmental records, 1-h and 6-h records in par...More

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