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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.
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.