Lecture 1 - Introduction and the Empirical CDF
نویسنده
چکیده
The term distribution-free is used quite often in the statistical learning theory community, to refer to an analysis that makes no assumptions on the distribution of training examples (and only assumes these are independent and identically distributed samples from an unknown distribution). For our purposes we will say a model is nonparametric if it is not a parametric model. In the simplest form we speak of a parametric model if the data vector X is such that
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