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High dimensional density estimation with sparse grids

Wilson, Padarn George


Density estimation is a classical and well studied problem in modern statistics. In the case of low dimensional problems there are a wide array of well understood and efficient non-parametric methods in the existing literature. In contrast, high dimensional density estimation remains a very challenging problem in this field. As the dimension of the variable space increases there is an exponential growth in both the computational complexity of the problem and in the required sample size. This is...[Show more]

CollectionsOpen Access Theses
Date published: 2015
Type: Thesis (MPhil)
DOI: 10.25911/5d5158d5d5110
Access Rights: Open Access


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