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Yuwei Jiang is a Doctoral student in the Department of Mathematics and Mathematical Statistics at Umeå University. His current research focuses on semiparametric regression and numerical methods within the areas of functional statistics. He has contributed to the field through his work, including a publication titled 'Functional regression shape constraints' in 2025, which explores new trends and developments in functional statistics. Jiang is dedicated to advancing the understanding of statistical methodologies and their applications, engaging in rigorous research that bridges theoretical concepts and practical applications.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.