All Questions
3
questions
11
votes
4
answers
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Why is Kernel Density Estimation still nonparametric with parametrized kernel?
I am new to kernel density estimation (KDE), but I want to learn about it to help me calculate probabilities of outcomes in sequencing data. I watched this https://www.youtube.com/watch?v=QSNN0no4dSI ...
- 9,411
7
votes
2
answers
3k
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How to choose a kernel for KDE
There are a lot of kernels available for a univariate KDE. R uses normal by default, but the efficacy discussion seems to support the use of Epanechnikov. What should influence kernel choice for ...
- 2,121
8
votes
1
answer
2k
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What practical application is there for the Asymptotic Mean Integrated Squared Error in kernel density estimation?
Introduction
For some time now I have been struggling to understand how theoretical results can be applied in practice. Fortunately in most cases the link between theory and practice is not hard to ...
