Geodesic
Mallows distance convergence for extremes: regeneration approach
Teoriâ veroâtnostej i ee primeneniâ, Tome 67 (2022) no. 3, pp. 597-606

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We explore the Mallows distance convergence to characterize the domain of attraction for extreme value distributions. Under mild assumptions we derive the necessary and sufficient conditions. In addition to the i.i.d. case, our results apply to regenerative processes.
Keywords: Mallows distance, extreme distributions, regenerative processes. 
@article{TVP_2022_67_3_a10,
     author = {S. Mousavinasr and C. R. Gon\c{c}alves and C. C. Y. Dorea},
     title = {Mallows distance convergence for extremes: regeneration approach},
     journal = {Teori\^a vero\^atnostej i ee primeneni\^a},
     pages = {597--606},
     publisher = {mathdoc},
     volume = {67},
     number = {3},
     year = {2022},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/TVP_2022_67_3_a10/}
}
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S. Mousavinasr; C. R. Gonçalves; C. C. Y. Dorea. Mallows distance convergence for extremes: regeneration approach. Teoriâ veroâtnostej i ee primeneniâ, Tome 67 (2022) no. 3, pp. 597-606. http://geodesic.mathdoc.fr/item/TVP_2022_67_3_a10/