Topological Perspectives on Statistical Quantities I
Nissim Ranade

TL;DR
This paper explores the connection between Boolean cumulants in non-commutative probability and $A_$-algebra theory in algebraic topology, providing a topological perspective on statistical quantities.
Contribution
It introduces a novel link between cumulants in statistics and homotopy theory of algebra maps, bridging two mathematical frameworks.
Findings
Boolean cumulants measure deviation from algebra morphisms
Homotopy theory of $A_$-algebras models non-algebra maps
Establishes a topological interpretation of statistical cumulants
Abstract
In statistics cumulants are defined to be functions that measure the linear independence of random variables. In the non-communicative case the Boolean cumulants can be described as functions that measure deviation of a map between algebras from being an algebra morphism. In Algebraic topology maps that are homotopic to being algebra morphisms are studied using the theory of algebras. In this paper we will explore the link between these two points of views on maps between algebras that are not algebra maps.
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Taxonomy
TopicsTopological and Geometric Data Analysis · Homotopy and Cohomology in Algebraic Topology · Advanced Topology and Set Theory
