activity
20062026
most citedSIAN: software for structural identifiability analysis of ODE models

119 citations · 638 across the 44 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

math.AG2020

Multi-experiment parameter identifiability of ODEs and model theory

Alexey Ovchinnikov, Anand Pillay, Gleb Pogudin +1

Structural identifiability is a property of an ODE model with parameters that allows for the parameters to be determined from continuous noise-free data. This is a natural prerequi…

math.AG2020

Parameter identifiability and input-output equations

Alexey Ovchinnikov, Gleb Pogudin, Peter Thompson

Structural parameter identifiability is a property of a differential model with parameters that allows for the parameters to be determined from the model equations in the absence o…

math.AC2020★ 2 cited

Algorithms yield upper bounds in differential algebra

Wei Li, Alexey Ovchinnikov, Gleb Pogudin +1

Consider an algorithm computing in a differential field with several commuting derivations such that the only operations it performs with the elements of the field are arithmetic o…

q-bio.MN2020★ 1 cited

CLUE: Exact maximal reduction of kinetic models by constrained lumping of differential equations

Alexey Ovchinnikov, Isabel Cristina Pérez Verona, Gleb Pogudin +1

Motivation: Detailed mechanistic models of biological processes can pose significant challenges for analysis and parameter estimations due to the large number of equations used to…

eess.SY2020

Computing all identifiable functions of parameters for ODE models

Alexey Ovchinnikov, Anand Pillay, Gleb Pogudin +1

Parameter identifiability is a structural property of an ODE model for recovering the values of parameters from the data (i.e., from the input and output variables). This property…