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Created with Raphaël 2.2.017Aug15141312108976543232131Jul302827262526252625262526252625242524232221201918171817151413121312131213121110987564543432323230Jun29282726252625262526252322212221222120212021202120192019201918191819181718171514131413likelihood_tests.py: minor fix for python2 testinglikelihood_tests.py: add tests for exponential likelihoodAdd exponential likelihood to the documentationlikelihood_tests.py: add tests for Students t-likelihood and fix some bugslikelihood.py: complete the Students t-likelihood functionprior.py: minor change to in_priorlikelihood.py: start adding a Students t-likelihoodFixes to prior functions so that test script passesprior_tests.py: adject domains for prior normalisation testsprior.py: minor bug fixAdded Gamma and ChiSquared prior distributionsprior.py: some bug fixes after running test codeprior_tests.py: add new priors to test fileprior.py: add some testing of input values to make sure they are validprior.py: do not set a dist variable containing the scipy distribution, just call the distribution functions as neededprior.py: fix call to scipy stats classesAdd Cauchy prior distributionAdd logistic prior distributionAdd beta prior distributionAdd Students t-distribution priorAdd lognormal priorAdd HalfGaussian distribution, and synonyms to all Gaussian distributions called Normalprior.py: add an exponential priorlikelihood.py: Fix doc string for exponential likelihoodMerge branch 'some_detector_refactoring_and_tests_update' into 'master'Merge branch '164-bug-in-powerlaw-prior-lnprob-method' into 'master'Merge branch 'source_length_fix' into 'master'fix ln_prob naming (167)fix lnprob method for power lawAdd an exponential distribution lieklihood functionAllow PyMC3 prior to be set through the Prior ln_prob method - added this to PyMC3 examplelikelihood.py: remove definition of pymc3_likelihood from Likelihood class definition as this it no longer requiredAdd example of defining a custom likelihood for PyMC3Some changes to the structure of the Pymc3 sampler class with regard to how the context managers are appliedradioactive_decay.py: change scaling of N0 (very small values on prior cause problems with Pymc3)sampler.py: ignore DeltaFunctions in output samples for Pymc3sampler.py: remove unnecessary print statementAllow PyMC3 step name to be passed to codesampler.py: minor fixMove PyMC3 specific likelihood functions into the sampler class