Calibration for computer experiments with binary responses
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Calibration refers to the estimation of unknown parameters which are present in computer experiments but not available in physical experiments. An accurate estimation of these parameters is important because it provides a scientific understanding of the underlying system which is not available in physical experiments. Most of the work in the literature is limited to the analysis of continuous responses. Motivated by a study of cell adhesion experiments, we propose a new calibration method for binary responses. This method is shown to be semiparametric efficient and the estimated parameters are asymptotically consistent. Numerical examples are given to demonstrate the finite sample performance. The proposed method is applied to analyze a class of T cell adhesion experiments. The findings can shed new light on the choice of settings of kinetic parameters in single molecular interactions.
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