Effective Parameter Dimension via Bayesian Model Selection in the Inverse Acoustic Scattering Problem
Prior distribution samples for coefficients on our boundary representation. The sample is drawn from a Gaussian distribution with mean and variance , where is the position of the coefficient on a Fourier series and is constant. We vary the variance and set the value of depending on the expected smoothness of the boundary to recover.
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