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Mora - Automatic Generation of Moment-Based Invariants
We introduce Mora, an automated tool for generating invariants of probabilistic programs. Inputs to Mora are so-called Prob-solvable loops, that is probabilistic programs with polynomial assignments over random variables and parametrized distributions. Combining methods from symbolic computation and...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439751/ http://dx.doi.org/10.1007/978-3-030-45190-5_28 |
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author | Bartocci, Ezio Kovács, Laura Stankovič, Miroslav |
author_facet | Bartocci, Ezio Kovács, Laura Stankovič, Miroslav |
author_sort | Bartocci, Ezio |
collection | PubMed |
description | We introduce Mora, an automated tool for generating invariants of probabilistic programs. Inputs to Mora are so-called Prob-solvable loops, that is probabilistic programs with polynomial assignments over random variables and parametrized distributions. Combining methods from symbolic computation and statistics, Mora computes invariant properties over higher-order moments of loop variables, expressing, for example, statistical properties, such as expected values and variances, over the value distribution of loop variables. |
format | Online Article Text |
id | pubmed-7439751 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-74397512020-08-21 Mora - Automatic Generation of Moment-Based Invariants Bartocci, Ezio Kovács, Laura Stankovič, Miroslav Tools and Algorithms for the Construction and Analysis of Systems Article We introduce Mora, an automated tool for generating invariants of probabilistic programs. Inputs to Mora are so-called Prob-solvable loops, that is probabilistic programs with polynomial assignments over random variables and parametrized distributions. Combining methods from symbolic computation and statistics, Mora computes invariant properties over higher-order moments of loop variables, expressing, for example, statistical properties, such as expected values and variances, over the value distribution of loop variables. 2020-03-13 /pmc/articles/PMC7439751/ http://dx.doi.org/10.1007/978-3-030-45190-5_28 Text en © The Author(s) 2020 Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. |
spellingShingle | Article Bartocci, Ezio Kovács, Laura Stankovič, Miroslav Mora - Automatic Generation of Moment-Based Invariants |
title | Mora - Automatic Generation of Moment-Based Invariants |
title_full | Mora - Automatic Generation of Moment-Based Invariants |
title_fullStr | Mora - Automatic Generation of Moment-Based Invariants |
title_full_unstemmed | Mora - Automatic Generation of Moment-Based Invariants |
title_short | Mora - Automatic Generation of Moment-Based Invariants |
title_sort | mora - automatic generation of moment-based invariants |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439751/ http://dx.doi.org/10.1007/978-3-030-45190-5_28 |
work_keys_str_mv | AT bartocciezio moraautomaticgenerationofmomentbasedinvariants AT kovacslaura moraautomaticgenerationofmomentbasedinvariants AT stankovicmiroslav moraautomaticgenerationofmomentbasedinvariants |