Pages that link to "Item:Q1863199"
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The following pages link to A Markov chain model for subsurface characterization: Theory and applications (Q1863199):
Displaying 15 items.
- Updating Markov chain models using the ensemble Kalman filter (Q536589) (← links)
- Bayesian Markov chain random field cosimulation for improving land cover classification accuracy (Q887625) (← links)
- Petro-elastic log-facies classification using the expectation-maximization algorithm and hidden Markov models (Q888395) (← links)
- A comparative study of nonlinear Markov chain models for conditional simulation of multinomial classes from regular samples (Q954670) (← links)
- Markov chain random fields for estimation of categorical variables (Q1001145) (← links)
- Subsurface characterization using a cellular automaton approach (Q1035768) (← links)
- On modelling discrete geological structures as Markov random fields (Q1863236) (← links)
- Comparison of recursive neural network and Markov chain models in facies inversion (Q2040689) (← links)
- Stochastic inverse method for estimation of geostatistical representation of hydrogeologic stratigraphy using borehole logs and pressure observations (Q2323565) (← links)
- Sampling strategies for uncertainty reduction in categorical random fields: formulation, mathematical analysis and application to multiple-point simulations (Q2325286) (← links)
- A segmentation approach for stochastic geological modeling using hidden Markov random fields (Q2360990) (← links)
- Bayesian Gaussian mixture linear inversion for geophysical inverse problems (Q2399813) (← links)
- Bayesian inversion in hidden Markov models with varying marginal proportions (Q2418630) (← links)
- Estimation of geological attributes from a well log: an application of hidden Markov chains (Q2457853) (← links)
- Markov chain Monte Carlo implementation of rock fracture modelling (Q2468287) (← links)
