Multi-Output Parameter Estimation of the Generalized Extreme Value Distribution for Flood Risk in Northeast Thailand

• Published in: Lobachevskii journal of mathematics Vol. 46; no. 1; pp. 388 - 402
• Main Authors: Chamchong, Rapeeporn, Phoophiwfa, Tossapol, Suraphee, Sujitta, Rattanamethawee, Witchaya, Volodin, Andrei, Busababodhin, Piyapatr
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 01.01.2025; Springer Nature B.V
• Subjects: Algebra; Analysis; Correlation coefficients; Extreme values; Flood management; Floods; Geometry; Machine learning; Mathematical Logic and Foundations; Mathematics; Mathematics and Statistics; Maximum likelihood estimation; Normalized difference vegetative index; Parameter estimation; Probability Theory and Stochastic Processes; Rainfall; Risk; Water resources management; Weather stations; Thailand; generalized extreme value distribution; rainfall; flood risk; multi-output regression; parameter estimation; 2010 Mathematics Subject Classification: 62F10, 62E20; machine learning

This study proposes the improvement of an adaptive parameter estimation approach for the GEVD using multi-output machine learning for the non-stationary models and comparing it to maximum likelihood estimation for the stationary models. This method effectively estimates GEVD parameters, improving ex...