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Results tagged with nonparametric
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user 177713
Use this tag to ask about the nature of nonparametric or parametric methods, or the difference between the two. Nonparametric methods generally rely on few assumptions about the underlying distributions, whereas parametric methods make assumptions that allow data to be described by a small number of parameters.
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Closeness of 2-parametric discrete distributions when first 2 moments are matching
Let $\mathcal{D}$ be a particular 2-parameter uni-variate discrete distribution family, and let $D(\theta_1, \theta_2) \in \mathcal{D}$ be one particular distribution from this family, where $\theta_i …
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What are some of the common techniques for density estimation?
If you care for techniques with strong theoretical guarantees on sample complexity for arbitrarily low error as well as run-time, you could check out this work by Chan et al. This paper presents an al …
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Literature on nonparametric density estimation
Density estimation is obviously a vastly studied topic. If you care for results in density estimation with provable guarantees on sample complexity and time of computation, while having approximation …