How to implement MonteCarlo integration of probability density function to obtain CDF
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Poulomi Ganguli
il 11 Ott 2019
Risposto: Abhishek Kumar
il 8 Dic 2020
Hello:
I have a probability density function obtained from convolution process of two random variables. Hence, I don't have the functional form of the PDF. Now, I am interested to integrate the PDF numerically using Montecarlo method. I came across a few file exchage page, for example: https://de.mathworks.com/matlabcentral/fileexchange/53477-monte-carlo-integration
But above require functional form. Any suggestions/help how do I integrate the PDF using Montecarlo method to get corresponding CDF?
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John D'Errico
il 11 Ott 2019
Modificato: John D'Errico
il 11 Ott 2019
Note that trapezoidal rule integration is not an EXACT integral. It is an approximation. The magnitude of the error will be impacted by the increment, generally larger for larger increments. So why are you surprised at the result?
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Abhishek Kumar
il 8 Dic 2020
Hi Poulomi, as I understand you have PDF of your desired function as convolution of two random functions(assuming f1,f2), you also have the file exchange script as you have mentioned hence you can use the following strategy.
(desired PDF as pdf)
pdf = conv(f1,f2);
[cdf,E,R,info]=integralN_mc(pdf);
"integralN_mc" being the function created under the script, you can use other variations of the functions as described in the script as well.
Please do share what input random functions you are using for further help if your query is not resolved.
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