Statistical design methods provide systematic approaches for planning experiments to explore complex systems efficiently. These methods encompass strategies such as factorial and fractional factorial ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

where \(\mathsf{G}(\cdot)\) is some convex operator and \(\mathcal{F}\) is as set of feasible input distributions. Examples of such an optimization problem include finding capacity in information ...

Precision oncology exploits genomic, immunologic, and other biomarkers to drive discovery, drug development, and clinical care for patients with cancer. Precision oncology helps devise individualized ...