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[ascl:2107.018] ART: A Reconstruction Tool

ART reconstructs log-probability distributions using Gaussian processes. It requires an existing MCMC chain or similar set of samples from a probability distribution, including the log-probabilities. Gaussian process regression is used for interpolating the log-probability for the rescontruction, allowing for easy resampling, importance sampling, marginalization, testing different samplers, investigating chain convergence, and other operations.

Code site:
https://github.com/tmcclintock/AReconstructionTool
Described in:
https://ui.adsabs.harvard.edu/abs/2019MNRAS.489.4155M
Bibcode:
2021ascl.soft07018M

Views: 400

ascl:2107.018
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