Covariance between indicators and factors @SpartacanUsuals
Covariance between indicators and factors  @SpartacanUsuals
Uploaded February 2014 | Updated September 2026, 1 hour ago
This video provides an introduction as to how we can derive the covariance matrix for a set of indicator variables and the set of factors, when we use the matrix notation form of factor analysis models. 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
Covariance 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 specificRandom assignment - removes selection biasAn introduction to reference priorsRandom variables and probability distributions.Probit model as a result of a latent variable model
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Covariance between indicators and factors

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