Cover image of Statistics for Applications

Statistics for Applications

Statistics for Applications

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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

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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

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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

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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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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

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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

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15. Regression (cont.)

15. Regression (cont.)

In this lecture, Prof. Rigollet talked about significance test and other tests.

20 Jul 2017

1hr 15mins

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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

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