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Better covariance estimator for vectorised HMC algorithms

Open yebai opened this issue 4 years ago • 1 comments

When we run parallel HMC sampling using the vectorised HMC implementation, it is possible to adapt the covariance matrix for momentum variables using all samples from all chains. Furthermore, it is possible to do a position-dependent covariance matrix (an approximation to Riemann manifold HMC), using a distance-weighted formula for the covariance matrix.

Reference

Leimkuhler, B., Matthews, C., & Weare, J. (2018). Ensemble preconditioning for Markov chain Monte Carlo simulation. Statistics and Computing, 28(2), 277–290. https://paperpile.com/app/p/7056c9c3-b754-07e0-ae1a-ac773d86096b Code: https://bitbucket.org/c_matthews/ensembleqn/src/master/

yebai avatar Feb 26 '20 15:02 yebai

@torfjelde Just realise that we have an issue for this thing.

xukai92 avatar Jul 31 '20 23:07 xukai92