24. Generalized Linear Models (cont.)
24. Generalized Linear Models (cont.)
In this lecture, Prof. Rigollet talked about Hessian, Fisher information, weighted least squares, and iteratively reweig... Read more
20 Jul 2017
•
54mins
23. Generalized Linear Models (cont.)
23. Generalized Linear Models (cont.)
In this lecture, Prof. Rigollet talked about strict concavity, optimization methods, quadratic approximation, Newton-Rap... Read more
20 Jul 2017
•
1hr 18mins
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22. Generalized Linear Models (cont.)
22. Generalized Linear Models (cont.)
In this lecture, Prof. Rigollet talked about log-likelihood function, link function, and canonical link, etc.
20 Jul 2017
•
1hr 17mins
21. Generalized Linear Models
21. Generalized Linear Models
In this lecture, Prof. Rigollet talked about linear model, generalization, and examples of disease occurring rate, prey ... Read more
20 Jul 2017
•
1hr 15mins
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20. Principal Component Analysis (cont.)
20. Principal Component Analysis (cont.)
In this lecture, Prof. Rigollet talked about principal component analysis: main principle, algorithm, example, and beyon... Read more
20 Jul 2017
•
1hr 16mins
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
18. Bayesian Statistics (cont.)
18. Bayesian Statistics (cont.)
In this lecture, Prof. Rigollet talked about Bayesian confidence regions and Bayesian estimation.
20 Jul 2017
•
1hr 3mins
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
15. Regression (cont.)
15. Regression (cont.)
In this lecture, Prof. Rigollet talked about significance test and other tests.
20 Jul 2017
•
1hr 15mins
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
