Ranked #1
17. Bayesian Statistics
17. Bayesian Statistics
In this lecture, Prof. Rigollet talked about Bayesian approach, Bayes rule, posterior distribution, and non-informative ... Read more
20 Jul 2017
•
1hr 18mins
Ranked #2
19. Principal Component Analysis
19. Principal Component Analysis
In this lecture, Prof. Rigollet reviewed linear algebra and talked about multivariate statistics.
20 Jul 2017
•
1hr 17mins
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Ranked #3
4. Parametric Inference (cont.) and Maximum Likelihood Estimation
4. Parametric Inference (cont.) and Maximum Likelihood Estimation
In this lecture, Prof. Rigollet talked about confidence intervals, total variation distance, and Kullback-Leibler diverg... Read more
20 Jul 2017
•
1hr 17mins
Ranked #4
5. Maximum Likelihood Estimation (cont.)
5. Maximum Likelihood Estimation (cont.)
In this lecture, Prof. Rigollet talked about maximizing/minimizing functions, likelihood, discrete cases, continuous cas... Read more
20 Jul 2017
•
1hr 16mins
Ranked #5
6. Maximum Likelihood Estimation (cont.) and the Method of Moments
6. Maximum Likelihood Estimation (cont.) and the Method of Moments
In this lecture, Prof. Rigollet continued on maximum likelihood estimators and talked about Weierstrass Approximation Th... Read more
20 Jul 2017
•
1hr 19mins
Ranked #6
13. Regression
13. Regression
In this lecture, Prof. Rigollet talked about linear regression and multivariate case.
20 Jul 2017
•
1hr 16mins
Ranked #7
7. Parametric Hypothesis Testing
7. Parametric Hypothesis Testing
In this lecture, Prof. Rigollet talked about parametric hypothesis testing and discussed Cherry Blossom run and clinical... Read more
20 Jul 2017
•
1hr 18mins
Ranked #8
11. Parametric Hypothesis Testing (cont.) and Testing Goodness of Fit
11. Parametric Hypothesis Testing (cont.) and Testing Goodness of Fit
In this lecture, Prof. Rigollet talked about Glivenko-Cantelli Theorem (fundamental theorem of statistics), Donsker’s Th... Read more
20 Jul 2017
•
1hr 22mins
Ranked #9
3. Parametric Inference
3. Parametric Inference
In this lecture, Prof. Rigollet talked about statistical modeling and the rationale behind statistical modeling.
20 Jul 2017
•
1hr 22mins
Ranked #10
14. Regression (cont.)
14. Regression (cont.)
In this lecture, Prof. Rigollet talked about linear regression with deterministic design and Gaussian noise.
20 Jul 2017
•
1hr 13mins