Knowledge graph centered on Popper-Bayes geophysical hypothesis testing with 13 nodes and 28 connections. Top connected: Crested Butte, East River, Snodgrass Mountain, Probabilistic Evaluation of Geoscientific Hypothes, Electrical Resistivity Tomography.
A framework for testing geological hypotheses using geophysical data that integrates Monte Carlo simulation, dimension reduction, and Bayesian updating to account for uncertainty in both model parameters and measurements. Consists of prior model generation, falsification testing, and posterior probability calculation.
Synthesized from method descriptions across 1 paper using this protocol.
Steps below were extracted from the most recent peer-reviewed implementation of this protocol in the corpus — Probabilistic Evaluation of Geoscientific Hypotheses With Geophysical Data. Application to Electrical Resistivity Imaging of a Fractured Bedrock Zone (2021), Journal of Geophysical Research. Implementations in other papers (listed below) may differ.