Estimating the error variance in matrix form - part 5 @SpartacanUsuals
Estimating the error variance in matrix form - part 5  @SpartacanUsuals
Uploaded November 2013 | Updated September 2026, 2 hours ago
This video explains the concept of the Orthogonal Projection Operator in Ordinary Least Squares estimation, and derives its explicit 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
Estimating the error variance in matrix form - part 5On the sensitivity of the marginal likelihood to prior choiceIndependent two sample t test for populations with equal variancesAn example of how an improper prior leads to an improper posteriorCovariance between indicators and factorsThe distribution zoo app to help to understand and use probability distributionsFactor Analysis - model representation - part 2Using a Bayes box to calculate the denominatorPropensity score theorem proof - part 1Estimating the error variance in matrix form - part 3Geometric Interpretation of Ordinary Least Squares: An IntroductionEconometric model building - general to specific
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Estimating the error variance in matrix form - part 5

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