معرفی
Koudou Efoevi Angelo is a Lecturer at the University of Lorraine within the IUT Nancy Charlemagne department. His research focuses on advanced statistical methodologies including Stein's method, generalized inverse Gaussian distributions, and Kummer distributions, with applications in machine learning and statistics with noisy data. He also explores statistical applications in sports and health domains.
His recent publications address the convergence of distributions and robust algorithm evaluation in classification tasks. He collaborates with the Probability and Statistics research team at IECL and contributes to academic seminars and conferences.
Contact: Email efoevi.koudou@univ-lorraine.fr, Office 401, Campus des Aiguillettes.
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