Representable Markov categories and comparison of statistical experiments in categorical probability

Markov categories are a recent categorical approach to the mathematical foundations of probability and statistics. Here, this approach is advanced by stating and proving equivalent conditions for second-order stochastic dominance, a widely used way of comparing probability distributions by their spr...

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Veröffentlicht in:	Theoretical computer science Jg. 961; S. 113896
Hauptverfasser:	Fritz, Tobias, Gonda, Tomáš, Perrone, Paolo, Fjeldgren Rischel, Eigil
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 15.06.2023
Schlagworte:	Blackwell–Sherman–Stein Theorem Categorical probability Comparison of statistical experiments Kleisli category Markov category Second-order stochastic dominance Kleisli category Second-order stochastic dominance Categorical probability Markov category Blackwell–Sherman–Stein Theorem Comparison of statistical experiments
ISSN:	0304-3975, 1879-2294
Online-Zugang:	Volltext
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