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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture discusses the estimation of parameters in statistical models, focusing on measures of performance such as Mean Squared Error (MSE) and unbiased estimators. It covers topics like the Fisher information, Cramér-Rao lower bound, and the Rao-Blackwell Theorem, emphasizing the importance of sufficiency in improving estimation performance.