Kernel-based surface temperature models plus parallel ensemble MCMC make Bayesian borehole reconstructions faster and produce uncertainty bands that better cover the true synthetic history once approximation error is included.
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Bayesian Inference: Kernel-Based Model for Surface Temperature Reconstruction in Ice Borehole Thermometry
Kernel-based surface temperature models plus parallel ensemble MCMC make Bayesian borehole reconstructions faster and produce uncertainty bands that better cover the true synthetic history once approximation error is included.