MIT 18.650 Statistics for Applications, Fall 2016 - 5. Maximum Likelihood Estimation (cont.)

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18-650-statistics-for-applications-fall-2016 bernoulli trials gaussian model kullback-leibler divergence likelihood maximizing function maximum likelihood estimator minimizing function poisson model

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MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet In this lecture, Prof. Rigollet talked about maximizing/minimizing functions, likelihood, discrete cases, continuous cases, and maximum likelihood estimators. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

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