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CAlculating Gaussian Copula but shows error

1 Ansicht (letzte 30 Tage)
Nirajan Khatri
Nirajan Khatri am 28 Sep. 2020
Beantwortet: Ameer Hamza am 28 Sep. 2020
clc;
N = 1000;
norm_mean = 0;
norm_var = 1;
%generating random variable with standard normal distribution and
%calculating PDF
r1= norm_mean+sqrt(norm_var)*randn(1,N);
%calculating PDF
y1 = pdf('Normal',r1,norm_mean,sqrt(norm_var));
%Random variable 2
r2= norm_mean+sqrt(norm_var)*randn(1,N);
y2 = pdf('Normal',r2,norm_mean,sqrt(norm_var));
%Random Variable 3
r3= norm_mean+sqrt(norm_var)*randn(1,N);
y3 = pdf('Normal',r3,norm_mean,sqrt(norm_var));
%Calculate correlation between columns Y1 and Y2
)
[rho,pval] = corr([y1(:),y2(:)],y3(:),'type','Spearman')
%Calculating correlation between Y1 and Y2 and Y3 using corrcoef
[r,p] = corrcoef(y1(:),y2(:)) %%Cannot calculate it
%calculating Gaussian/Normal copula
u = copularnd('Gaussian',rho,N); %%Cannot calculate it

Akzeptierte Antwort

Ameer Hamza
Ameer Hamza am 28 Sep. 2020
Why are you specifying y3, when trying to calculate the correlation of y1 and y2. The following line will work fine with copularnd
rho = corr([y1(:),y2(:)],'type','Spearman');

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