Maximum likelihood estimation of factor analysis models - fitting function @SpartacanUsuals
Maximum likelihood estimation of factor analysis models - fitting function  @SpartacanUsuals
Uploaded February 2014 | Updated September 2026, 1 hour ago
This video provides an introduction to maximum likelihood estimation of factor analysis (and sem) models, by minimising a fitting function which is intimately related to the log likelihood. 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
Maximum likelihood estimation of factor analysis models - fitting functionThe conditional independence assumption - intuitionGeometric intepretation of least squares - orthogonal projectionFree econometrics lectures channel advertisement - new and improved ad!GLS estimators in matrix form - part 3GLS estimators in matrix form - part 2Breast cancer example use of Bayes rule - 1How to write your first Stan programPropensity score theorem proof - part 2Geometric Least Squares   Column Space IntuitionLeast Squares as a Maximum Likelihood estimatorOrthogonal Projection Operator in Least Squares - part 2
Ben Lambert |

Maximum likelihood estimation of factor analysis models - fitting function

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER