Identifiability of directed-cycle and catenary linear compartment models

Fuente: arXiv
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Hauptverfasser: Ahmed, Saber, Crepeau, Natasha, Dessauer Jr., Paul R., Edozie, Alexis, Garcia-Lopez, Odalys, Grimsley, Tanisha, Garcia, Jordy Lopez, Neri, Viridiana, Shiu, Anne
Format: Preprint
Veröffentlicht: 2024
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author Ahmed, Saber
Crepeau, Natasha
Dessauer Jr., Paul R.
Edozie, Alexis
Garcia-Lopez, Odalys
Grimsley, Tanisha
Garcia, Jordy Lopez
Neri, Viridiana
Shiu, Anne
author_facet Ahmed, Saber
Crepeau, Natasha
Dessauer Jr., Paul R.
Edozie, Alexis
Garcia-Lopez, Odalys
Grimsley, Tanisha
Garcia, Jordy Lopez
Neri, Viridiana
Shiu, Anne
contents A parameter of a mathematical model is structurally identifiable if it can be determined from noiseless experimental data. Here, we examine the identifiability properties of two important classes of linear compartmental models: directed-cycle models and catenary models (models for which the underlying graph is a directed cycle or a bidirected path, respectively). Our main result is a complete characterization of the directed-cycle models for which every parameter is (generically locally) identifiable. Additionally, for catenary models, we give a formula for their input-output equations. Such equations are used to analyze identifiability, so we expect our formula to support future analyses into the identifiability of catenary models. Our proofs rely on prior results on input-output equations, and we also use techniques from linear algebra and graph theory.
format Preprint
id arxiv_https___arxiv_org_abs_2412_05283
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Identifiability of directed-cycle and catenary linear compartment models
Ahmed, Saber
Crepeau, Natasha
Dessauer Jr., Paul R.
Edozie, Alexis
Garcia-Lopez, Odalys
Grimsley, Tanisha
Garcia, Jordy Lopez
Neri, Viridiana
Shiu, Anne
Combinatorics
Algebraic Geometry
Dynamical Systems
93B30, 37N25, 92C45, 34A30, 34A55, 05C50
A parameter of a mathematical model is structurally identifiable if it can be determined from noiseless experimental data. Here, we examine the identifiability properties of two important classes of linear compartmental models: directed-cycle models and catenary models (models for which the underlying graph is a directed cycle or a bidirected path, respectively). Our main result is a complete characterization of the directed-cycle models for which every parameter is (generically locally) identifiable. Additionally, for catenary models, we give a formula for their input-output equations. Such equations are used to analyze identifiability, so we expect our formula to support future analyses into the identifiability of catenary models. Our proofs rely on prior results on input-output equations, and we also use techniques from linear algebra and graph theory.
title Identifiability of directed-cycle and catenary linear compartment models
topic Combinatorics
Algebraic Geometry
Dynamical Systems
93B30, 37N25, 92C45, 34A30, 34A55, 05C50
url https://arxiv.org/abs/2412.05283