David Donoho is a prominent statistician known for his contributions to the field of data analysis, particularly in the areas of wavelets, nonparametric statistics, and regularization methods. His work has greatly influenced how we approach inverse problems, especially through the lens of regularization theory, which aims to stabilize ill-posed problems by introducing additional information or constraints.
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