A summary of using the maximum entropy principle from information theory to reconstruct a PDF (or other distributions) given a finite number of moments. This is quite useful especially when using the method of moments in population balances or related stochastic transport processes. The document also includes some results from my code for reconstructing some bimodal and trimodal Gaussian distributions, beta, and log-normal distributions.
nice info plus source thanks for sharing.
ReplyDeleteThank you, man!
ReplyDeleteThe only question: can you please publish the code if it is possible?
Thank you for sharing this!
ReplyDeleteOne question: can you also share the code?
Unfortunately I am unable to share the code at the moment.
ReplyDelete