All Questions
3
questions
4
votes
0
answers
246
views
Maximum likelihood estimation and density estimation
Let's consider a general signal processing estimation problem where the measurements are modeled as
$${\bf x}[n]={\bf s(\theta)}+{\bf w}[n],$$ where ${\bf w}$ is a non-Gaussian r.v. (noise term) and ${...
- 385
9
votes
3
answers
2k
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Different non-parametric methods for estimating the probability distribution of data
I have some data and was trying to fit a smooth curve to it. However, I do not want to enforce too many prior beliefs or too strong pre-conceptions (except the ones implied by the rest of my question) ...
- 6,926
3
votes
3
answers
223
views
Literature on nonparametric density estimation
I am about to write my bachelor thesis about non-parametric density estimation, especially kernel density estimators and their application in classification. As I am quite new to looking for academic ...
- 33