Cover image of Statistics for Applications

Statistics for Applications

Statistics for Applications

Ranked #1

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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

Ranked #2

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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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Ranked #3

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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

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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

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Ranked #5

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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

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13. Regression

13. Regression

In this lecture, Prof. Rigollet talked about linear regression and multivariate case.

20 Jul 2017

1hr 16mins

Ranked #7

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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

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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

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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

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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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