Representing homoscedasticity and no autocorrelation in matrix form - part 2 @SpartacanUsuals
Representing homoscedasticity and no autocorrelation in matrix form - part 2  @SpartacanUsuals
Uploaded January 2014 | Updated September 2026, 52 minutes ago
This video explains how homoscedastic errors with no autocorrelation can be represented in matrix form.

Check out oxbridge-tutor.co.uk/graduate-econometrics-course for course materials, and information regarding updates on each of the courses. Check out ben-lambert.com/econometrics-course-problem-sets-and-data 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: ben-lambert.com/bayesian Accompanying this series, there will be a book: amazon.co.uk/gp/product/1473916364/ref=pe_3140701_247401851_em_1p_0_ti
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Representing homoscedasticity and no autocorrelation in matrix form - part 2

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