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Theoretical Underpinnings of the Bootstrap
This page, created by Susan Holmes of Stanford University, discusses the theory behind the bootstrap. It discusses the empirical distribution function as an approximation of the distribution function. It also introduces the parametric bootstrap. Holmes break down the lesson into different subsets, these include: statistic functionals, notions of convergence, examples, counterexamples, theoretical analysis, parametric bootstrap, maximum and correlation coefficient.
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