Compositional imprecise probability: a solution from graded monads and Markov categories

Compositional imprecise probability: a solution from graded monads and Markov categories

Imprecise probability is concerned with uncertainty about which probability distributions to use. It has applications in robust statistics and machine learning. We look at programming language models for imprecise probability. Our desiderata are that we would like our model to support all kinds of c...

Bibliografski detalji
Glavni autori:	Liell-Cock, J, Staton, S
Format:	Journal article
Jezik:	English
Izdano:	Association for Computing Machinery 2025

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