Skip to content

Prior Probability

Takeshi Akuhara edited this page Mar 7, 2019 · 16 revisions

Prior Probability

We set prior probability of each model parameter like the following table.

Model parameter Distribution type Tuning parameter
# of layer interfaces Truncated uniform k_min, k_max
Interface depth Truncated uniform z_min, z_max
S wave velocity perturbation Gaussian sigma_dvs_prior
P wave velocity perturbation Gaussian sigma_dvp_prior
Data noise standard deviation Truncated Uniform sigma_min, sigma_max

All tuning parameters listed above are to be given in the input parameter file.

Clone this wiki locally