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Youtube tutorials of the course "Merging Models with Data" from University of California, Irvine.

Pankaj Dey

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  • Institute : Indian Institute of Science
  • Programming language : MATLAB, R
This class teaches students the basic theory, concepts, and numerical implementation of model-data synthesis approaches including linear/nonlinear regression (topic 1), global optimization (topic 2), multiple criteria optimization (topic 3), Bayesian analysis (topic 4), data assimilation (topic 5), model averaging (topic 6), likelihood-free inference/diagnostic model evaluation (topic 7) and informal Bayesian methods (topic 8). The different concepts are discussed in class and these methods are then used for hypothesis testing to enhance information extraction from data and improve process understanding of the system of interest. Students are given eight different homeworks that cover the material discussed in class.

Link to youtube videos: