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* Add canned likelihood for scalar GPMSA use-case a la Higdon et al
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* Add a logit-transformed transition kernel for more efficient proposals
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* Adding jeffreys distribution as an available prior distribution
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* Adding likelihood value caching to ML sampler
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* Adding Eric Wright to contributors list
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Version 0.50.0
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* Implemented MCMC sampling on function spaces
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* Added function space MCMC unit tests
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* Added serial and parallel function space MCMC examples
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* Replace exit() calls with a macro exception handler
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Version 0.47.1
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* created two simple statistical examples, simpleStatisticalForwardProblem and simpleStatisticalInverseProblem
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* included description of the new examples on QUESO user's manual, including how to run and to process the generated data
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* updated QUESO user's manual to include description of validationCycle example
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* updated links for how to obtain QUESO and contact information (github/git)
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Version 0.47.0
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* removed example statisticalInverseProblem as it has a bug - it fails to recreate the problem described in the Normal test from Laine's MCMC tool: http://helios.fmi.fi/~lainema/mcmc/ex/normalex.html.
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Version 0.50.0 (In progress)
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* Implemented MCMC sampling on function spaces
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* Added function space MCMC unit tests
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* Added serial and parallel function space MCMC examples
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* Replace exit() calls with a macro exception handler
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