I am now working on sir model for epidemic modeling and I am trying to estimate the parameters of the system using available data,but I have to approximate the points representing the variables with respect to time. So apart from the least squares method, what are some other methods that could solve this problem ?
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Havent seen this for some time, but perhaps maximum likelihood estimation or parametric alternatives? I think you can try googling this. – Tereza Tizkova Feb 02 '22 at 13:46
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gradient descent https://en.wikipedia.org/wiki/Gradient_descent is an universal method to approximate any function or dataset
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