Multiple hypothesis testing is an important part of many high-throughput data analysis workflows. A common objective is to maximize the number of discoveries while controlling the expected fraction of ...

When Eric Weber, professor and chair of mathematics at Iowa State University, talks about data science with future math teachers, he doesn't begin with code, algorithms, or buzzwords. Instead, he asks ...