Unlock: e-values
A nonnegative random variable whose expectation under the null is at most one. Reciprocals of e-values behave like p-values via Markov's inequality, with the structural advantage that products of conditional e-values remain valid evidence under filtration. E-values were developed to replace p-values where optional stopping or selective combination is unavoidable.
213 Prerequisites0 Mastered0 Working164 Gaps
Prerequisite mastery23%
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Realizability Assumption is your weakest prerequisite with available questions. You haven't been assessed on this topic yet.
e-valuesTARGET
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Adaptive Learning Is Not IIDAdvanced
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Concentration InequalitiesFoundations
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p-valuesCore
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Random VariablesAxioms
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