Covariate-varying threshold selection method in non-stationary generalized pareto model
Non-stationary data usually exist in real life and influenced by covariates. The non-stationary extremes are usually modelled by setting a constant high threshold, u, where the threshold exceedances are modelled by Generalized Pareto distribution (GP). Covariates model is incorporated to the GP par...
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| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Academy of Sciences Malaysia
2019
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| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/81045/1/PARETO.pdf http://psasir.upm.edu.my/id/eprint/81045/ https://www.akademisains.gov.my/asmsj/article/covariate-varying-threshold-selection-method-in-non-stationary-generalized-pareto-model/ |
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