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Popper-Bayes geophysical hypothesis testing

Subcategory: Bayesian inference
Standard reference: Enemark et al. (2020), Hermans et al. (2015, 2018), Scheidt et al. (2015)
Papers: 1 | Mentions: 1

Local Knowledge Graph (37 entities)

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Description

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.

Typical Equipment

  • PyGIMLi software
  • tetgen mesh generator
  • random forest regression software
  • Bayesian sampling software
  • statistical analysis software

Output Measurements

  • posterior probabilities of hypotheses
  • model parameter distributions

Papers Using This Protocol (1)

article

Probabilistic Evaluation of Geoscientific Hypotheses With Geophysical Data. Application to Electrical Resistivity Imaging of a Fractured Bedrock Zone

2021Journal of Geophysical Researchusing

Places Where Used

Crested Butte

study site1 paper

West Elk Mountains

region1 paper

upper East River Valley

valley1 paper

Gothic Mountain

peak1 paper

Southwest Colorado

region1 paper

Interior Seaway

region1 paper

Gothic Quadrangle

region1 paper

Olympic Mountains

region1 paper

Elk Range Thrust Fault

region1 paper

Rarick Gulch Fault

region1 paper