Prof. Constantine Research

Gregory Constantine contributes to the planning of scientific experiments, and is using data to build a wide range of data-driven statistical models. Such models may include nonparametric as well as parametric mechanistic ones, probabilistic Bayesian and neuro-network models, predictive parametric models, and models driven by discrete mathematics techniques. His activities involve also the fit of dynamical discrete system models, such as systems of ordinary difference or differential equations, to experimental data for parameter estimation, validation and calibration.

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