Models for complex systems are often built with more parameters than can be uniquely identified by the available data. Because of the variety of causes, identifying a lack of parameter identifiability typically requires the mathematical manipulation of models, Monte Carlo simulations, and...

We consider the problem of estimating input parameters for a differential equation model, given experimental observations of the output. As time and cost limit both the number and quality of observations, the design is critical. A generalized notion of leverage is derived and, with this, we...