A Unified Study on Sequentiality in Universal Classification with Empirically Observed Statistics

In the binary hypothesis testing problem, it is well known that sequentiality in taking samples eradicates the trade-off between two error exponents, yet implementing the optimal test requires the knowledge of the underlying distributions, say \(P_0\) and \(P_1\). In the scenario where the knowledge...

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Veröffentlicht in:	arXiv.org 2024-08
Hauptverfasser:	Ching-Fang, Li, I-Hsiang, Wang
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Continuity (mathematics) Errors Exponents Hypotheses Hypothesis testing Inference
Online-Zugang:	Volltext
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