.. _model_target:

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Model Description *(under construction)*
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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
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The statistical model is built using the probabilistic programming package `PyMC <https://www.pymc.io/welcome.html>`_. For users who are new to Bayesian modeling, the `PyMC documentation <https://www.pymc.io/projects/docs/en/stable/learn.html>`_ includes links to useful introductory resources.

Inference model structure
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Age constraints
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Sample ages
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Proxy signal
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Local influences on proxy records
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Sampling the posterior
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