PTMCMCSampler
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jellis18
Parallel tempering MCMC sampler package written in Python
Currently, the GradientJumps do not modify cov_cf during the run. This is because the NUTSJump tunes epsilon (the stepsize) during the burn-in. In tests, I found that tuning epsilon while...
The GradientJumps currently implement a coordinate transformation, through the functions: forward, backward, func_grad_white, draw_momenta, loghamiltonian, and posmom_inprod. In principle, this is unnecessary, if only the functions draw_momenta, loghamiltonian, and posmom_inprod...
Add some new tracking options to track which jump was used at every iteration as well as the evaluation time of the step.
Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 2 to 4.1.7. Release notes Sourced from actions/download-artifact's releases. v4.1.7 What's Changed Update @actions/artifact dependency by @bethanyj28 in actions/download-artifact#325 Full Changelog: https://github.com/actions/download-artifact/compare/v4.1.6...v4.1.7 v4.1.6 What's Changed updating @actions/artifact...
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Model-Switch Thermodynamic Integration (MSTI) feature has been added, allowing users to sample across the posteriors of two models, instead of sampling between each model's prior and posterior, individually. Beta=0 is...
