Moments & Estimation
Expectation, variance, estimator bias, MLE vs MAP, and sampling distributions.
0/29 done
Moments & Estimation
4 lessons · Read before practicing
Expectation & variance
- 1Definition of Expected ValueEasy
- 2Linearity of ExpectationEasy
- 3Variance FormulaEasy
- 4Variance Under Linear TransformationEasy
- 5Variance of Difference of Independent VariablesMed
- 6Sample Mean as Estimator of ExpectationMed
- 7Variance of Sum with CovarianceMed
- 8Jensen's Inequality in MLMed
- 9Optimal Constant Predictor Under MAEHard
- 10Bias-Variance Tradeoff via Expectation and VarianceHard