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Empirical Measures and Strong Laws of Large Numbers in Categorical Probability

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Published in:Logical Methods in Computer Science
Format: Online Article RSS Article
Published: 2026
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container_title Logical Methods in Computer Science
description
discipline_display Computer Sciience
discipline_facet Computer Sciience
format Online Article
RSS Article
genre Journal Article
id rss_article:77772
institution FRELIP
journal_source_facet Logical Methods in Computer Science
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Empirical Measures and Strong Laws of Large Numbers in Categorical Probability
Computer Sciience
General
Computer Sciience
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Sciience
General
Computer Sciience
Computer Sciience
General
Computer Sciience
subject_facet Computer Sciience
General
Computer Sciience
title Empirical Measures and Strong Laws of Large Numbers in Categorical Probability
title_auth Empirical Measures and Strong Laws of Large Numbers in Categorical Probability
title_full Empirical Measures and Strong Laws of Large Numbers in Categorical Probability
title_fullStr Empirical Measures and Strong Laws of Large Numbers in Categorical Probability
title_full_unstemmed Empirical Measures and Strong Laws of Large Numbers in Categorical Probability
title_short Empirical Measures and Strong Laws of Large Numbers in Categorical Probability
title_sort empirical measures and strong laws of large numbers in categorical probability
topic Computer Sciience
General
Computer Sciience
url https://doi.org/10.46298/lmcs-22(2:13)2026