This is a preview. Log in through your library . Abstract We develop methodology for testing relevant hypotheses about functional time series in a tuning-free way. Instead of testing for exact ...

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 ...

The performance of multiple test procedures with respect to error control is an old issue. Assuming that all hypotheses are true we investigate the behavior of the ...