4. Parametric Inference (cont.) and Maximum Likelihood Estimation

4. Parametric Inference (cont.) and Maximum Likelihood Estimation

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4. Parametric Inference (cont.) and Maximum Likelihood Estimation
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 confidence intervals, total variation distance, and Kullback-Leibler divergence. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu