Measurable cones and stable, measurable functions: a model for probabilistic higher-order programming
We define a notion of stable and measurable map between cones endowed with measurability tests and show that it forms a cpo-enriched cartesian closed category. This category gives a denotational model of an extension of PCF supporting the main primitives of probabilistic functional programming, like...
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| Published in: | Proceedings of ACM on programming languages Vol. 2; no. POPL; pp. 1 - 28 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
01.01.2018
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| ISSN: | 2475-1421, 2475-1421 |
| Online Access: | Get full text |
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