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Author(s):
Hannah Gobel
Title:
Learning the Linear Relations of Undirected Gaussian Graphical Models with Symmetries
Abstract:
Gaussian graphical models represent conditional independence relationships in multivariate Gaussian distributions through undirected graphs. Previous studies have explored the algebraic structures of the generators of the vanishing ideal for certain graph types with a specific coloring. Building on this foundation, this thesis investigates cycle graphs in detail, considering all possible colorings of this graph type. The primary objective is to evaluate the validity of a conjecture stating that,...     »
Subject:
MAT Mathematik
DDC:
510 Mathematik
Supervisor:
Mathias Drton
Advisor:
Pratik Misra
Date of acceptation:
15.01.2025
Year:
2025
Quarter:
1. Quartal
Year / month:
2025-01
Month:
Jan
Pages:
40
Language:
en
University:
Technische Universität München
Faculty:
TUM School of Computation, Information and Technology
TUM Institution:
Lehrstuhl für Mathematische Statistik
Format:
Text
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