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2024 (English)In: Algebraic Statistics, ISSN 2693-2997, Vol. 15, no 2, p. 357-382Article in journal (Refereed) Published
Abstract [en]
In the last quarter of a century, algebraic statistics has established itself as an expanding field which uses multilinear algebra, commutative algebra, computational algebra, geometry, and combinatorics to tackle problems in mathematical and computational statistics. These developments have found applications in a growing number of areas, including biology, neuroscience, economics, and social sciences. Naturally, new connections continue to be made with other areas of mathematics and statistics. We outline three such connections: to statistical models used in educational testing, to a classification problem for a family of nonparametric regression models, and to phase transition phenomena under uniform sampling of contingency tables. We illustrate the motivating problems, each of which is for algebraic statistics a new direction, and demonstrate an enhancement of related methodologies.
Place, publisher, year, edition, pages
Mathematical Sciences Publishers, 2024
Keywords
algebraic statistics, contingency tables, educational measurement, identifiability, likelihood geometry, phase transition, regression trees
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:kth:diva-373239 (URN)10.2140/astat.2024.15.357 (DOI)2-s2.0-105020983911 (Scopus ID)
Note
QC 20251125
2025-11-252025-11-252025-11-25Bibliographically approved