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Updated: Jun 12, 2025

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
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Optimum Achievable Rates in Two Random Number Generation Problems with f-Divergences Using Smooth Rényi Entropy

Ryo Nomura1, Hideki Yagi2

  • 1Center for Data Science, Waseda University, Tokyo 169-8050, Japan.

Entropy (Basel, Switzerland)
|September 27, 2024
PubMed

Keywords:
Hellinger distanceKullback–Leibler divergencef-divergenceintrinsic randomnessrandom number generationsmooth Rényi entropysource resolvabilityvariational distance

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