11. Parametric Hypothesis Testing (cont.) and Testing Goodness of

11. Parametric Hypothesis Testing (cont.) and Testing Goodness of Fit

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In this lecture, Prof. Rigollet talked about Glivenko-Cantelli Theorem (fundamental theorem of statistics), Donsker’s Theorem, and Kolmogorov-Smirnov test.

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Statistics for Applications

Published 07/20/17

24. Generalized Linear Models (cont.)

In this lecture, Prof. Rigollet talked about Hessian, Fisher information, weighted least squares, and iteratively reweighed least squares.

Published 07/20/17

23. Generalized Linear Models (cont.)

In this lecture, Prof. Rigollet talked about strict concavity, optimization methods, quadratic approximation, Newton-Raphson method, and Fisher-scoring method.

Published 07/20/17