Bayesian statistics syllabus @SpartacanUsuals
Bayesian statistics syllabus @SpartacanUsuals
Uploaded June 2014 | Updated September 2026, 1 hour ago
This video is a description of the syllabus that will be covered in this course on Bayesian statistics. 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
Bayesian statistics syllabusDerivation of variance-covariance matrix in factor analysis - part 1Factor Analysis - an introductionSimultaneous equation models - parameter identificationCauchy Schwarz Inequality Proof part 2Maximum Likelihood estimation of Logit and ProbitMaximum 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 2
Ben Lambert |

Bayesian statistics syllabus

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