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But these methods need sometimes interaction with the user.
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What methods need to be used?
Wraiths and Science Vessels are needed sometimes.
Moreover, while these latter segmentation methods often need careful (sometimes even manual) close-enough initialization to ensure the method convergence to a proper solution, the proposed approach can start with random initial values.
This method needs to know the noise level σ, but sometimes it is difficult to estimate an accurate σ.
This method needs real discipline, though.
The main challenges with MCMC using a known likelihood function are that efficient sampling methods are sometimes needed to choose candidate parameter values, and in all cases the burden is on the user to check whether the MCMC is actually converging to the correct full posterior distribution.
We need understanding sometimes, not every time.
Sometimes more "selective" methods are needed which aim to isolate and manipulate individual particles.
Sometimes you need a burger and sometimes a steak.
Other methods are needed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com