We discuss issues of structural and practical identifiability of partially observed differential
equations which are often applied in systems biology. The development of mathematical …

Observability is a modelling property that describes the possibility of inferring the internal
state of a system from observations of its output. A related property, structural identifiability …

Dynamical systems modeling, particularly via systems of ordinary differential equations, has
been used to effectively capture the temporal behavior of different biochemical components …

Motivation The theoretical possibility of determining the state and parameters of a dynamic
model by measuring its outputs is given by its structural identifiability and its observability …

Biological processes are often modeled by ordinary differential equations with unknown
parameters. The unknown parameters are usually estimated from experimental data. In …

Elimination of unknowns in a system of differential equations is often required when
analyzing (possibly nonlinear) dynamical systems models, where only a subset of variables …

Epidemiological models can provide the dynamic evolution of a pandemic but they are
based on many assumptions and parameters that have to be adjusted over the time the …

The precise thermal error prediction of spindle-bearing systems (SBSs) necessitates a
comprehensive analysis of information gathered from multi-source sensors. However …

Background and objective: Binge eating disorder (BED) is the most frequent eating disorder,
often confused with obesity, with which it shares several characteristics. Early identification …

Computational and mathematical models rely heavily on estimated parameter values for
model development. Identifiability analysis determines how well the parameters of a model …