Fast and automatic structural identifiability software for ODE systems
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Updated
Oct 9, 2026 - Julia
Fast and automatic structural identifiability software for ODE systems
Research code for the manuscript on structural and practical identifiability of perception and memory in nonlocal advection-diffusion models of animal movement: pseudo-spectral and finite-volume solvers, profile likelihood and Bayesian inference, and an application to archived wolf GPS data.
An O(T) pre-training geometric diagnostic system that detects latent regime unidentifiability via singular value subspace collapse in Switching State-Space Models (S-SSMs) before model training begins.
Python framework for structural and practical identifiability analysis of a 13-parameter Multi-Cell Line CHO kinetic model using SVD-ROSM, Monte Carlo simulations, and t-value based parameter fixing.
Structural identifiability of ODE models by Lie symmetries over finite fields
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