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The examples folder now contains a "gaussian_likelihood" and a "curved_likelihood" jupyter notebook. The Gaussian likelihood also contains a simple transformation class that transforms away an interval for usage with Hamiltonian samplers.
Questions:
what other examples do we need?
do we want to incorporate the interval transform as functionality inside of the PTMCMC package somewhere? Perhaps as a module? It is a very general thing.
Finally added a simple example for an N-D gaussian without using the hamiltonian sampling. This also shows how to add custom jump proposals. We still may want a parallel tempering example
Provide some simple tests for the sampler
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