Peng Zeng

High-Dimensional Statistical Inference for Sparse Support Vector Machines

Using a replica-symmetric high-dimensional characterization, an inferential framework for sparse support vector machines when the sample size and number of features grow proportionally is developed, which provides confidence intervals and hypothesis tests for individual features and enables false-discovery-rate-control...