Questions tagged [scipy.stats]
The scipy.stats tag has no usage guidance.
scipy.stats
330
questions
0
votes
0
answers
37
views
Why is scipy.stats.rvs_continuous using different arguments than it is passed?
I used scipy.stats.rvs_continuous to make a Phase-Type distribution to model coalescence time. I'll paste the code below, but the gist of the problem is this:
A Phase-Type distribution is defined by a ...
4
votes
1
answer
186
views
Multivariate normal distribution using python scipy stats and integrate nquad
Let
be independent normal random variables with means
and unit variances, i.e.
I would like to compute the probability
Is there any easy way to compute the above probability using scipy.stats....
- 223
0
votes
0
answers
40
views
Performance of numpy matrix vector product on scipy.stats.qmc.Sobol vector when changing reshaping order
Solution at the bottom.
I am trying to implement a Brownian bridge and want to speed up the path construction via numpy matrix multiplication, once the bridge is initialised. I am drawing data for 3 ...
- 1
0
votes
2
answers
127
views
Is there support for computing confidence intervals for Wilcoxon Test in Python?
Introduction/Summary of Problem
I'm working on a project with an intention of computing one-sample confidence intervals about the mean for several variables of interest in my dataset. After performing ...
- 17
0
votes
1
answer
92
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How to perform Spearman correlation between an index (time series) and a gridded data?
I need to perform Spearman correlation similar to the one available here (for Pearson correlation), where I can correlate between a gridded data and a climate index (or custom time series).
The ...
- 141
0
votes
1
answer
871
views
Quantstats No module named 'scipy.stats._boost.nct_ufunc'
I tried to start learning about quantstats but when I run something as simple as
import quantstats as qs
stock = qs.utils.download_returns('FB')
print(stock)
I got an Module Error which says
...
1
vote
2
answers
48
views
Subclassing scipy.stats.rv_continuous for truncated distribution
I would like to create a random variable from a truncated complementary error function. For this I want to subclass scipy.stats.rv_continuous. I have checked Subclassing scipy's continuous ...
- 296
-1
votes
1
answer
39
views
Handle NaN values in Scipy.mannwhitneyu (scipy.stats.mannwhitneyu)
I have a dataset of logIC50 values(say A) and another dataset of categorical clinical drug response (say B). There are mainly two important observations in B - sensitive and resistant. But there are ...
- 1
1
vote
1
answer
45
views
Truncated normal distribution doesn't agree with untruncated normal distribution?
I am generating random variates distributed according to a truncated normal distribution using the function v_in defined below.
import numpy as np
from scipy.stats import truncnorm
from scipy.stats ...
- 13
0
votes
1
answer
37
views
How do I import the frechet_r function from the scipy library?
When I try to import the function into the library the following error appears:
from scipy.stats import frechet_r
ImportError: cannot import name 'frechet_r' from 'scipy.stats' (C:\Users\melqu\...
0
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0
answers
29
views
Python- Scipy: if I have a 2D KDE from a distribution of data, can I then feed it a 1D array of "x" vals to get corresponding "y" vals?
I have a simple 2D kernel density estimation created from x and y values, using scipy's gaussian_kde. It looks similar to the example in the gaussian_kde documentation. I have new x values (a very ...
- 1
0
votes
0
answers
35
views
Zero value when computing an integral in 4-dimensions using quasi-Monte Carlo quadrature
Calculate the value of the integral using the _nquad method. The value is 2.9613231498508394e-18 but the solution takes a long time. qmc_quad can be used for acceleration, but the value remains 0.
...
- 17
-1
votes
3
answers
67
views
How to give negative log10 distribution to Python probplot function for qq-plotting p-values?
I want to translate the following code from R to Python using scipy.stats.probplot.
qqplot(-log10(ppoints(1000)), -log10(p_value))
This is Q-Q plot of p-values compared to uniform distribution with a ...
- 109
0
votes
1
answer
53
views
Getting inaccurate statistics using scipy
I am conducting a simple independent t-test. I am pulling my data from a CSV file that looks something like this after melting:
Region
Group
variable
value
IPN
Control
MMP-2
123
IPN
Control
MMP-2
...
- 127
0
votes
1
answer
68
views
Different results of SPSS and Python KS-test to assess normality
Suppose that I have a series of data:
age;height
8;120
8;123
8;130
8;125
10;160
9;158
8;120
7;126
6;98
5;97
7;115
7;120
7;118
8;117
6;97
6;99
9;123
10;157
10;155
9;155
9;153
5;96
7;115
6;94
6;94
5;87
...
- 13