Functional data analysis (FDA) extends classical statistics to the study of observations that vary over a continuum, such as curves, surfaces or images. In modern applications—from genomics and ...
Nonparametric estimation in high-dimensional settings addresses the challenge of inferring complex structures from data without prespecifying a fixed parametric form. As the number of variables grows, ...
Yihong Wu, whose work lies at the intersection of high-dimensional statistics, information theory, and computer science, was recently appointed the James A. Attwood Professor of Statistics and Data ...
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