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BAMresearch / bayem

Implementation and derivation of "Variational Bayesian inference for a nonlinear forward model." [Chappell et al. 2008] for arbitrary, user-defined model errors.

MIT License

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More results #60

Closed TTitscher closed 2 years ago

TTitscher commented 2 years ago

Add to the VBResults object:

run time
model parameters: mean and standard deviations for each iteration (full precision matrix likely unfeasible)
noise parameters: scales and shapes for each iteration

Add to the postprocessing:

a traceplot that visualizes the free energy and the model parameters over the iterations