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Professor Larry Goldstein's research primarily focuses on Stein's method, statistical distribution approximations, concentration inequalities, various sampling schemes, and applications in mathematical molecular biology and optimal stopping. He has contributed significantly to the field, authoring numerous publications and overseeing substantial research grants aimed at advancing understanding in these areas. His work not only spans theoretical frameworks but also includes practical applications that bridge statistical methodologies with contemporary challenges in mathematics and science. Goldstein's endeavors in research have been recognized and funded through various national institutes, reflecting his impact on both academia and applied mathematics, particularly in complex systems and non-Gaussian analysis.
GRE is NOT required for Master's applicants for 2025-2026.