Is it possible to use pymc for the following task: the signal is a nonlinear function of two variables that I want to evaluate, the noise is unsteady, correlates at different points in time? The noise distribution is Gaussian with a zero mean and covariance function versus time. The signal is deterministic.
I am new to pymc and don't know how to build the corresponding likelihood function in this case.
I would be grateful for any advice.
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