McMC transdimensional Bayesian inversion of surface wave dispersion and receiver functions
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Updated
Feb 28, 2021 - Python
McMC transdimensional Bayesian inversion of surface wave dispersion and receiver functions
Trans-dimensional Bayesian joint inversion of magnetotelluric and geomagnetic depth sounding responses to constrain mantle electrical discontinuities
Source code for Bayesian urban inversion OSSE [Kunik et al., 2019] written in R and equipped with sample inputs (run it out-of-the-box!)
A Python-based Bayesian inversion tool to infer time-dependent fault stress evolution directly from seismicity rate observations using the rate-and-state friction (RSF) law.
My slight modifications to Lewis's R-Inversion code
Flexible Inverse Problem Solver (FIPS)
Stochastic modelling of urban travel demand
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