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Asymptotic Theory for Combining Dependent $p$-Values for Global Hypothesis Testing
Combining $p$-values is a fundamental procedure in global hypothesis testing. In modern high-dimensional settings, however, component $p$-values often exhibit complex dependence and rely on asymptotic approximations rather than exact finite-sample uniform distributions. This paper establishes a unif
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