The conditional independence assumption: introduction @SpartacanUsuals
The conditional independence assumption: introduction  @SpartacanUsuals
Uploaded February 2014 | Updated September 2026, 2 hours ago
This video provides an introduction to the conditional independence assumption, and explains why this can allow for inference of a conditional average causal effect.

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
The conditional independence assumption: introductionThe syllabus covered by the book and YouTube courseGeometric interpretation of Least Squares: geometrical derivation of estimatorSURE estimator - same independent variables - part 1Factor analysis assumptionsSURE estimator - same independent variables - part 3Serial correlation - The Durbin-Watson testCausation in econometrics - selection bias and average causal effectAn introduction to discrete conditional probability distributions.An introduction to Jeffreys priors - 1Online conference at Oxford University: Inference for expensive systems in mathematical biologyPropensity score matching - mathematics behind estimation
Ben Lambert |

The conditional independence assumption: introduction

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