This video provides a description of how to differentiate a scalar with respect to a vector, which provides the framework for the proof of the form of least squares estimators in matrix form. Check out for course materials, and information regarding updates on each of the courses. Quite excitingly (for me at least), I am about to publish a whole series of new videos on Bayesian statistics on youtube. See here for information: Accompanying this series, there will be a book:
This video provides a description of how to differentiate a scalar with respect to a vector, which provides the framework for the proof of the form of least squares estimators in matrix form. Check out for course materials, and information regarding updates on each of the courses. Quite excitingly (for me at least), I am about to publish a whole series of new videos on Bayesian statistics on youtube. See here for information: Accompanying this series, there will be a book:
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