Generalized sensitivity functions characterize the sensitivity of the parameter estimates with
respect to the nominal parameters. We observe from the generalized sensitivity analysis of …

In this study, we develop a methodology for model reduction and selection informed by
global sensitivity analysis (GSA) methods. We apply these techniques to a control model that …

Inflammation is prevalent in hemodialysis patients and is believed to significantly contribute
to cardiovascular disease progression in end stage renal disease patients undergoing …

In this article, the sensitivity and generalized sensitivity analyses of the SIR and SEIR
models of the dynamics of computer virus is presented. From the sensitivity studies of the …

Sensitivity Analysis of the most advanced four compartmental mathematical model
explaining solute kinetic in the hemodialysis patients was performed on the basis of the data …

In this paper, we first present the idea of multiperiodic extension for a given function. These
functions called the multiperiodic or the extended period functions have more than one …

Salvage of endogenous immunoglobulin G (IgG) by the neonatal Fc receptor (FcRn) is
implicated in many clinical areas, including therapeutic monoclonal antibody kinetics …

Generalized sensitivity functions describe the effects of the changes in the true values of a
parameter over its estimates. In this paper, we define the off-diagonal generalized sensitivity …

In the process of estimating parameters on inverse problems, one needs to use an
ensemble of techniques to obtain sufficient information on the model parameters. One way …

Autonomic dysfunction (AD) is characterized by inadequate regulation of the
parasympathetic and sympathetic nervous systems hindering the ability of the …