Simultaneous inference of population proportions and its applications in machine learning
Xinjia Chen · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
In this paper, we develop an exact computational approach for simultaneous inference of population proportions. The main idea of this computational approach is to use branch and bound technique for rigorous checking of coverage probabilities and the probabilities of making wrong decisions. Applications of the proposed method can be found in machine learning and other areas.