Maximum Likelihood: Bernoulli random variables estimator variance part 2 @SpartacanUsuals
Maximum Likelihood: Bernoulli random variables estimator variance part 2  @SpartacanUsuals
Uploaded October 2013 | Updated September 2026, 59 minutes ago
This video continues our work on Bernoulli random variables by deriving the estimator variance for Maximum Likelihood estimators.

Check out oxbridge-tutor.co.uk/undergraduate-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
Maximum Likelihood: Bernoulli random variables estimator variance part 2An introduction to importance sampling - optimal importance distributionsAn introduction to continuous marginal probability distributionsHow to check if treatment is randomly assigned?Estimating the error variance in matrix form - part 6Variance-covariance matrix using matrix notation of factor analysisIntroduction to the matrix formulation of econometricsAn introduction to Jeffreys priors - 3Sample balancing via stratification and matchingModel implied variance-covariance matrix of indicators (matrix form) - part 1An introduction to the Poisson distribution - 1Effective sample size: representing the cost of dependent sampling
Ben Lambert |

Maximum Likelihood: Bernoulli random variables estimator variance part 2

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