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Instance-Log-Optimality of Portfolio-Based E-Processes and their Sequential Hypothesis Tests
We consider the problem of sequential hypothesis testing using $e$-processes. For a rich class of composite testing problems---which include bounded mean testing, equal mean testing for bounded random tuples, and some key ingredients of two-sample and independence testing as special cases---we show
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