kernel density estimation and regression (?)

1 次查看（过去 30 天）
cgo
cgo 2015-3-27
Hello,
I am trying to estimate the pdf of a random variable two ways: First is by making an estimation analytically (by hand, calculus). The second is by using histograms and kernel density estimation.
Is it possible that I use the result from kernel density estimation in order to approximate or fit a continuous function based on what I have calculated by hand? Of course there are differences in the two techniques, but I would like to use the second as a 'benchmark' to be able to manipulate the first (perhaps by adding/multiplying constants).
I am not sure if this becomes a regression problem.
Thanks

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Linear Regression 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by