Maximum Likelihood: Inference and Model Comparison
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Covers the Statistical Finite Element Method, focusing on the construction of a prior measure, dealing with model misspecification, and combining sensor data with FEM models.
Covers the role of models and data in statistical learning and optimization formulations, with examples of classification, regression, and density estimation problems.
