Tensors in algebraic statistics
Statistics Theory
2024-11-22 v1 Algebraic Geometry
History and Overview
Statistics Theory
Abstract
Tensors are ubiquitous in statistics and data analysis. The central object that links data science to tensor theory and algebra is that of a model with latent variables. We provide an overview of tensor theory, with a particular emphasis on its applications in algebraic statistics. This high-level treatment is supported by numerous examples to illustrate key concepts. Additionally, an extensive literature review is included to guide readers toward more detailed studies on the subject.
Cite
@article{arxiv.2411.14080,
title = {Tensors in algebraic statistics},
author = {Marta Casanellas and Luis Sierra and Piotr Zwiernik},
journal= {arXiv preprint arXiv:2411.14080},
year = {2024}
}
Comments
Overview paper