# Questions tagged [density-estimation]

The construction of an estimate, based on observed data, of an unobservable underlying probability density function (pdf).

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### Use OpenNN for score matching

I‘m new to this topic and need some guidance. I would like to implement score matching (like sliced-score matching: https://arxiv.org/abs/1905.07088) in C++. OpenNN (https://www.opennn.net/) seems to ...
• 101
1 vote
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### Packages for Density Estimation using K-Nearest Neighbor

I would like to have suggestions for packages that provide K-Nearest Neighbor density estimator, I've already searched the web (to not bother you guys with my question :) ), but most results were ...
54 views

### Connecting timeseries quantities to CDF

In the following paper, ...
77 views

### Function for KDE-style distribution generation for sampling

I have some points in pytorch and I would like to sample from a distribution that resembles these points. I noticed that the seaborn kde plots seem to draw out/define a distribution graphically and I ...
265 views

### logistic regression or density estimation for binary dependent variable and binary (or categorical) features [closed]

I have a binary dependent variable $t$ and categorical features. We can even simplify to binary features since I can one-hot encode the categorical variables. In practice the one-hot encoding induces ...
• 56
1 vote
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### Why exactly KNN is outperforming Parzen by a huge margin in classificaton task

I'm trying to implement a Naive Bayes classifier, which uses either of hypercubic Parzen window or KNN to estimate a density function. The data I'm using is Fashion MNIST. The steps I take are that ...
• 123
1 vote
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### MLE for Poisson conditioned on multivariate Gaussian?

I am writing some Python code to fit 2D Gaussians to fluorescent emitters on a dark background to determine the subpixel-resolution (x, y) position of the fluorescent emitter. The crude, pixel-...
1 vote
86 views

### How to evaluate KDE against histogram?

I am currently testing some approaches for density estimation, and I think the basic approach of histograms may not be the best option to me and KDE is certainly a good alternative to go. While ago I ...
1 vote
26 views

### Learn smoothly varying mean and variance of a variable over a 2d domain

For a problem which I am working on at the moment, I'm interested in learning how the mean and variance of some response variable y changes with two independent ...
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