Brownian motion tree models are toric

Felsenstein's classical model for Gaussian distributions on a phylogenetic tree is shown to be a toric variety in the space of concentration matrices. We present an exact semialgebraic char-acterization of this model, and we demonstrate how the toric structure leads to exact methods for maximum...

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Main Authors: Sturmfels, Bernd, Uhler, Caroline, Zwiernik, Piotr
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Institute of Information Theory and Automation 2022
Online Access:https://hdl.handle.net/1721.1/143914
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author Sturmfels, Bernd
Uhler, Caroline
Zwiernik, Piotr
author2 Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
author_facet Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Sturmfels, Bernd
Uhler, Caroline
Zwiernik, Piotr
author_sort Sturmfels, Bernd
collection MIT
description Felsenstein's classical model for Gaussian distributions on a phylogenetic tree is shown to be a toric variety in the space of concentration matrices. We present an exact semialgebraic char-acterization of this model, and we demonstrate how the toric structure leads to exact methods for maximum likelihood estimation. Our results also give new insights into the geometry of ultrametric matrices.
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spelling mit-1721.1/1439142023-03-28T19:42:53Z Brownian motion tree models are toric Sturmfels, Bernd Uhler, Caroline Zwiernik, Piotr Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Institute for Data, Systems, and Society Felsenstein's classical model for Gaussian distributions on a phylogenetic tree is shown to be a toric variety in the space of concentration matrices. We present an exact semialgebraic char-acterization of this model, and we demonstrate how the toric structure leads to exact methods for maximum likelihood estimation. Our results also give new insights into the geometry of ultrametric matrices. 2022-07-21T13:35:46Z 2022-07-21T13:35:46Z 2021 2022-07-21T13:24:34Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/143914 Sturmfels, Bernd, Uhler, Caroline and Zwiernik, Piotr. 2021. "Brownian motion tree models are toric." Kybernetika, 56 (6). en 10.14736/KYB-2020-6-1154 Kybernetika Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Information Theory and Automation arXiv
spellingShingle Sturmfels, Bernd
Uhler, Caroline
Zwiernik, Piotr
Brownian motion tree models are toric
title Brownian motion tree models are toric
title_full Brownian motion tree models are toric
title_fullStr Brownian motion tree models are toric
title_full_unstemmed Brownian motion tree models are toric
title_short Brownian motion tree models are toric
title_sort brownian motion tree models are toric
url https://hdl.handle.net/1721.1/143914
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