Turing.jl how to estimate param given a likelihood function

As a probabilistic programming language, Turing is very useful to turn a model into a likelihood function and perform inference of unobserved variables. Here you already have the likelihood function and there are no unobserved variables, so I think your problem is a pure optimization problem. And more precisely a least-squares problem.
See this post for an overview of techniques:

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