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Questions - kernel-density

Integration of KDE with strange behavior of from scipy.integrate.quad and the setted bandwith

I was looking for a way to obtaining the mean value (Expected Value) from a drawn distribution that I used to fit a Kernel Density Estimation from scipy.stats.gaussian_kde. I remember from my statisti...
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Velicious

python

scipy

integration

kernel-density

quad

Votes: 0

Answers: 1

Latest Answer

Your initial data is generate here # Generating sample data test_array = np.concatenate([np.random.normal(loc=-10, scale=.8, size=100),\ np.random.normal(loc=4,scale=2.0,s...
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Bob

How to convert a sparse 2D array in COO to a dense 2D array?

I need to write a Python function sparse2dense(indices, values) that converts a sparse 2D array in coordinate list format (COO) to a dense 2D array. here is the indices and the values: indices = [[0,1...
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Victoria Sanchez-Apellaniz

python

numpy

2d

sparse-matrix

kernel-density

Votes: 0

Answers: 0

The return of sklearn.neighbors.KernelDensity in python is not a pdf?

I want to use the sklearn.neighbors.KernelDensity in python to obtain a pdf of a data set. However, after visualizing the probability Density function(PDF) from the kernel object, I found the value of...
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dujuanjuan

python

scikit-learn

kernel-density

probability-density

Votes: 0

Answers: 0

How can I generate a CDF using Kernel Density Estimation in Python?

There are a few methods I have come across that can do kernel density estimation which will provide a PDF for a sample of data: KDEpy sklearn.neighbors.KernelDensity scipy.stats.gaussian_kde Using a...
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MK1300

python

statistics

kernel-density

Votes: 0

Answers: 1

Latest Answer

MCVE Let's create some dummy data to shoulder the discussion: import numpy as np from scipy import stats import matplotlib.pyplot as plt np.random.seed(123) data = stats.norm(loc=0, scale=1).rvs(10**...
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jlandercy

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