Questions tagged [density-estimation]
The construction of an estimate, based on observed data, of an unobservable underlying probability density function (pdf).
14 questions
2 votes
0 answers
34 views
KDE classification with n>1 features
i'm working on an implementation of this paper and i have a question. The authors purpose a model (KDE boosting classifier) which works with only n=1 feature and 1 dependent variabile. I'm saying that ...
- 21
3 votes
0 answers
63 views
A stupid question about contour plots
I am trying to make a contour plot for a point distribution using mat plot lib, but I find that the outermost points in the distribution are not included inside the perimeter of the outermost contour ...
- 31
1 vote
1 answer
263 views
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 ...
1 vote
1 answer
139 views
0 votes
0 answers
111 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 ...
- 45
0 votes
2 answers
359 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 ...
- 76
1 vote
0 answers
158 views
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 ...
- 133
1 vote
0 answers
54 views
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-...
- 11
1 vote
0 answers
143 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 ...
- 300
1 vote
0 answers
36 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 ...
- 11
3 votes
3 answers
10k views
How to convert regression into classification?
So I have a regression problem with bunch of features X, and labels in the amount (price $). How can I convert it to classification problem? I have read about convert label from continuous to ...
- 101
0 votes
1 answer
354 views
how can i interpret kernel density plots from classification?
all, i have a classification problem where i am predicting likelihood of client defaulting on loan. i plotted the predicted probabilities from my model, and then plotted against the label '1' for ...
- 556
1 vote
0 answers
70 views
Test independence based on Kernel Density Estimation
I am working on a problem where I have a dataset of $X$ is dataset with $(X, Y, T, K)$ four attributes, I'd like to test if $P(X, Y, T)P(K) = P(X, Y, T, K)$, that is if $X, Y, T$ is independent of $K$....
- 121
2 votes
1 answer
7k views
Simple example of Parzen window (kernel density estimation)
I am confused about the Parzen Window question. Suppose we have two training data points located at 0.5 and 0.7, and we use 0.3 as its rectangle window width. How do we estimate its probability ...
- 195