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Search results with tag "Kernel density"
Mixture Models - Carnegie Mellon University
www.stat.cmu.edu20.1.2 From Kernel Density Estimates to Mixture Models We have also previously looked at kernel density estimation, where we approximate the true distribution by sticking a small (1 n weight) copy of a kernel pdf at each ob-served data point and adding them up. With enough data, this comes arbitrarily
Hypothesis Testing with the Bootstrap - TAU
www.tau.ac.ilpopulation density is bimodal, but the Gaussian kernel density does not approximate it accurately, then the suggested test will not have high power. Bootstrap tests are useful when the alternative hypothesis is not well specified. In cases where there is parametric alternative hypothesis, likelihood or Bayesian methods might be preferable.