Introduction (Zacharie)
S1: Geodesy data - Tuesday 9:00-10:30 (Henriette)
What are GPS, InSAR, tsunami data
Where to get them
How to process them (providing a list of tools, websites…)
How to predict them (providing a list of tools, websites…)
S2: Implement/test different optimization techniques - Tuesday 11:00-12:30 (Henriette and Anthony)
S3: Seismology(/tsunami?) - Tuesday 16:00-17:30 (Anthony)
Where to get data (providing a list of tools, websites…)
How to process (providing a list of tools, websites…)
Theory behind source inversion
Brief extension to slow-slip events?
S4: Bayesian source inversion - Wednesday 14:00 - 15:30 (Zacharie)
choices of prior distribution (for static and kinematic parameters),
stochastic forward model (geodetic and seismic data),
solving the source inversion problem (MCMC, transitional MCMC, hierarchical modelling, model class selection, BIC/ABIC, etc).
Simple toy problem to illustrate MCMC