From what I can tell both kse and ksdensity are used to get a smoothly defined probability distribution function from vector of finite data. Is there a way to get MATLAB to produce the actual function as the output instead of finite set of input/output vectors? I need to be able to call on the kernal density estimator at an arbitrary point in my domain and I’d prefer not to just interpolate between the values provided. Is there a functionality of either of these two that gives the true function/estimator or do I need to write my own code to accomplish this?From what I can tell both kse and ksdensity are used to get a smoothly defined probability distribution function from vector of finite data. Is there a way to get MATLAB to produce the actual function as the output instead of finite set of input/output vectors? I need to be able to call on the kernal density estimator at an arbitrary point in my domain and I’d prefer not to just interpolate between the values provided. Is there a functionality of either of these two that gives the true function/estimator or do I need to write my own code to accomplish this? From what I can tell both kse and ksdensity are used to get a smoothly defined probability distribution function from vector of finite data. Is there a way to get MATLAB to produce the actual function as the output instead of finite set of input/output vectors? I need to be able to call on the kernal density estimator at an arbitrary point in my domain and I’d prefer not to just interpolate between the values provided. Is there a functionality of either of these two that gives the true function/estimator or do I need to write my own code to accomplish this? statistics MATLAB Answers — New Questions

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