5. Maximum Likelihood Estimation (cont.) - Listen - Statistics for

5. Maximum Likelihood Estimation (cont.)

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In this lecture, Prof. Rigollet talked about maximizing/minimizing functions, likelihood, discrete cases, continuous cases, and maximum likelihood estimators.

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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