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 Get underlying function from Kernel Density Estimation jpython Unladen Swallow Posts: 4 Threads: 2 Joined: Dec 2019 Reputation: 0 Likes received: 0 #4 Dec-05-2019, 11:23 AM (Dec-05-2019, 08:22 AM)jpython Wrote: (Dec-04-2019, 11:51 PM)scidam Wrote: There is no simple representation of such formula. You are likely looking for a simple one. You can find explanation about kde-estimations at Wikipedia. So, kde-estimation is a function defined as a sequence of calculations (these calculations are hard to perform manually, but easy to do with help of the computer), it is a computational procedure. If you want to get a "convenient" formula as an estimation of pdf, you can look at parametric probability density estimations, e.g. fit a normal distribution, or fit a mixture of normal distributions (using mixture of known distributions might be very flexible, if you want to handle non-normally distributed data). Hi Scidam, I am able to use the methods you mentioned, but only to evaluate the the probability density function at a certain point. I woul like the formula in mathematical notation. Is this possible? My apologies, I did not read your post carefully. I did look briefly into parametric probability density estimations but again I was not able to print the underlying function it uses to do the estimation. « Next Oldest | Next Newest »

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 Messages In This Thread Get underlying function from Kernel Density Estimation - by jpython - Dec-04-2019, 11:02 PM RE: Get underlying function from Kernel Density Estimation - by scidam - Dec-04-2019, 11:51 PM RE: Get underlying function from Kernel Density Estimation - by jpython - Dec-05-2019, 08:22 AM RE: Get underlying function from Kernel Density Estimation - by jpython - Dec-05-2019, 11:23 AM

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