model_joint_prior.distr: Joint prior distribution estimation

In amignan/rseismTLS: Induced Seismicity Traffic Light System

Description

Estimates the joint prior distributions related to the 3 parameters of the induced seismicity model of Mignan et al. (2017), model_rate.val().

Usage

model_joint_prior.distr(prior)

Arguments

prior

a list of the prior distributions computed with model_prior.distr() bi the vector of b increments b.prior the prior Beta distribution of b ai the vector of a_fb increments a.prior the prior Beta distribution of a_fb taui the vector of tau increments tau.prior the prior Gamma distribution of tau

Details

Read Broccardo et al. (2017) for details.

Value

the list of the joint prior distributions for each of the 3 model parameter combinations:

• b_a.prior the array of the (b, a_fb) joint distribution

• b_tau.prior the array of the (b, tau) joint distribution

• a_tau.prior the array of the (a_fb, tau) joint distribution

• joint.prior_norm the 3-dimensional array of the normalized joint prior distribution

References

Broccardo M., Mignan A., Wiemer S., Stojadinovic B., Giardini D. (2017), Hierarchical Bayesian Modeling of Fluid‐Induced Seismicity. Geophysical Research Letters, 44 (22), 11,357-11,367, doi: 10.1002/2017GL075251

Mignan A., Broccardo M., Wiemer S., Giardini D. (2017), Induced seismicity closed-form traffic light system for actuarial decision-making during deep fluid injections. Sci. Rep., 7, 13607, doi: 10.1038/s41598-017-13585-9

See Also

model_rate.val, model_prior.distr, par_Mignan_etal_SciRep2017.dat

amignan/rseismTLS documentation built on July 4, 2020, 1:04 p.m.