Approximation theory investigates how complex functions or data can be represented by simpler mathematical entities—such as polynomials, splines, wavelets or ...
Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
Paper Approximation Methods for Determining Optimal Allocations in Response Adaptive Clinical Trials
Clinical trials have traditionally followed a fixed design, in which patient allocation to treatments is fixed throughout the trial and specified in the protocol. The primary goal of this static ...
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