Record details

Title
    Bayesian approach to magnetotelluric tensor decomposition
Author
    Červ, Václav
    Menvielle, M.
    Pek, Josef
Language
    anglicky
Publication type
    článek v odborném periodiku
Source title - serial
    Annals of Geophysics
Vol./nr.
    Roč. 53, č. 2
Pages
    s. 21-32
Year
    2010
Notes
    Projekt: GA205/04/0746, GA ČR3cav_un_auth*0000922
    Projekt: GA205/07/0292, GA ČR3cav_un_auth*0228725
    Projekt: IAA200120701, GA AV ČR3cav_un_auth*0228925
    Rozsah: 12 s.
    Výzkumný záměr: CEZ:AV0Z30120515
Subject category
    basic procedure
    galvanic distortion
    impedance tensor
    inversion
    noise
    telluric distortion
Keyword
    Approach
    Bayesian
    Decomposition
    Magnetotelluric
    Tensor
Abstract (in english)
   Magnetotelluric directional analysis and impedance tensor decomposition are basic tools to validate a local/regional composite electrical model of the underlying structure. Bayesian stochastic methods approach the problem of the parameter estimation and their uncertainty characterization in a fully probabilistic fashion, through the use of posterior model probabilities. We use the standard Groom-Bailey 3-D local/2-D regional composite model in our bayesian approach. We assume that the experimental impedance estimates are contamined with the Gaussian noise and define the likelihood of a particular composite model with respect to the observed data.
Contributor
    AV ČR Brno, Geofyzikální ústav
Contributor code
    AV ČR, GFÚ
Source format
    U
Import date
    9. 12. 2013