Lecture 17 : March 24 Lecturer
نویسنده
چکیده
In the previous lecture we defined Sufficient Statistics, which capture all information in the data relevant to estimating a desired parameter (hopefully, in a concise way). Motivated by the fact that useful sufficient statistics (i.e., those with dimension independent of sample size) only exist for certain (i.e., exponential family) distributions, we defined two more general notions, the Rate Distortion Function and the Information Bottleneck Principle.
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