Grassmannian calculus for probability
Simone Baldassarri, Alessandra Cipriani
TL;DR
This paper provides an accessible overview of Grassmannian calculus and explores its applications in probability, serving as a personal summary of recent research and potential uses in the field.
Contribution
It offers a gentle introduction and personal interpretation of Grassmannian calculus, highlighting its relevance and applications in probability theory.
Findings
Introduces Grassmannian calculus concepts for probabilistic applications
Summarizes recent research and potential uses in probability
Provides an accessible entry point for new researchers
Abstract
The present overview and gentle introduction to Grassmannian calculus and some of its applications to probability collects the notes of a mini-course given by the authors at the Brazilian School of Probability, August 5-9, 2024, in Salvador, Bahia, Brazil. The content is by no means comprehensive, and is a personal summary and interpretation of results and applications of this interesting area of research.
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Taxonomy
TopicsProbability and Statistical Research · Statistical Mechanics and Entropy