Model Description (under construction)#

This page summarizes key aspects of the inference model, with an emphasis on the geological assumptions encoded in the statistical framework. Users should refer to Edmonsond & Dyer (submitted to Geoscientific Model Development) for an extended technical description of the model, guidance on choosing priors for key model parameters, synthetic proof-of-concept experiments, and advice on interpreting the results.

Key features#

The statistical model is built using the probabilistic programming package PyMC. For users who are new to Bayesian modeling, the PyMC documentation includes links to useful introductory resources.

Inference model structure#

Age constraints#

Sample ages#

Proxy signal#

Local influences on proxy records#

Sampling the posterior#