Statistical Inference · Statistics
Lots more about the intricacies of statistical testing, law of large numbers, and central limit theorem.
I learned various concepts in statistical inference such as estimators, confidence intervals, hypothesis testing, and linear regression.
-MLE/MOM estimators, Forming Confidence Intervals, Hypothesis Testing, simple linear regression
Classic Casella Berger stats class - convergence theorems, sufficiency, MLE, Cramer Rao bound, hypothesis testing etc
Fisher Information, Bayer's rule, Generalized Likelihood Ratio, Hypothesis testing
Common Distributions, Posterior and Prior Distributions, MLEs and MoM estimators, confidence intervals, fisher information, hypothesis tests, chi-square tests, linear regression
Estimators, confidence intervals, hypothesis testing
Statistics, estimators, hypothesis testesting, bayesian statistics, linear regression
Very Unclear, the content itself is already very hard, the professor made it even harder to understand
How to construct statistical models and find estimators using the data.