A reversible-jump Markov chain Monte Carlo algorithm for 1D inversion of magnetotelluric data.
Eric MandolesiXenia OgayaJoan CampanyàNicola Piana AgostinettiPublished in: Comput. Geosci. (2018)
Keyphrases
- learning algorithm
- dynamic programming
- similarity measure
- k means
- training data
- neural network
- prior information
- prior knowledge
- posterior probability
- bayesian framework
- reversible jump markov chain monte carlo
- incomplete data
- stereo matching
- missing data
- parameter estimation
- expectation maximization
- probability distribution