Power and dependence in multiple testing
Characterize attainable power when controlling a specified family-wise error rate or false-discovery rate across many dependent tests, under explicitly stated dependence assumptions.
10 entries matching the current filters. Sorted by recently added.
Characterize attainable power when controlling a specified family-wise error rate or false-discovery rate across many dependent tests, under explicitly stated dependence assumptions.
Develop calibrated ways to combine dependent p-values when their joint dependence is only partially known, and characterize the resulting validity–power tradeoffs.
A question from Statistical Science (2025). Section 7, concluding question 5; inspected PDF p. 21.
A question from Statistical Science (2025). Section 7, concluding question 4; inspected PDF p. 21.
A question from Statistical Science (2025). Section 7, concluding question 3; inspected PDF p. 21.
A question from Statistical Science (2025). Section 7, concluding question 2; inspected PDF p. 21.
A question from Statistical Science (2025). Section 7, concluding question 1; inspected PDF p. 21.
Bi-orthogonal coordinates without assumed dual connections. Current research status is unassessed. The dated source poses this question; inclusion does not certify that it remains open today.
A divergence minimized by the operator Sinkhorn algorithm. Current research status is unassessed. The dated source poses this question; inclusion does not certify that it remains open today.
A joint information geometry for stochastic dynamics. Current research status is unassessed. The dated source poses this question; inclusion does not certify that it remains open today.