The Fisher score on the closed simplex

Fuente: arXiv
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Hauptverfasser: Pistone, Giovanni, Rapallo, Fabio, Riccomagno, Eva
Format: Preprint
Veröffentlicht: 2026
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author Pistone, Giovanni
Rapallo, Fabio
Riccomagno, Eva
author_facet Pistone, Giovanni
Rapallo, Fabio
Riccomagno, Eva
contents We extend classical analytic tools for finite-state statistical models to allow zero probabilities. Using methods from algebraic statistics and information geometry, we develop a framework in which a smooth statistical model could hit the boundary of the simplex, for example, in contingency tables with non-structural zeros. The central object of our approach is the vector bundle whose fibres are the $p$-contrasts associated to each probability distribution $p$. In this framework, Fisher score and other key statistical concepts, such as entropy for one-dimensional statistical models, admit an algebraic representation also on the boundary of the simplex.
format Preprint
id arxiv_https___arxiv_org_abs_2602_07665
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle The Fisher score on the closed simplex
Pistone, Giovanni
Rapallo, Fabio
Riccomagno, Eva
Statistics Theory
2020: 62B11, 62R01, 62H17
We extend classical analytic tools for finite-state statistical models to allow zero probabilities. Using methods from algebraic statistics and information geometry, we develop a framework in which a smooth statistical model could hit the boundary of the simplex, for example, in contingency tables with non-structural zeros. The central object of our approach is the vector bundle whose fibres are the $p$-contrasts associated to each probability distribution $p$. In this framework, Fisher score and other key statistical concepts, such as entropy for one-dimensional statistical models, admit an algebraic representation also on the boundary of the simplex.
title The Fisher score on the closed simplex
topic Statistics Theory
2020: 62B11, 62R01, 62H17
url https://arxiv.org/abs/2602.07665