Pages that link to "Item:Q500730"
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The following pages link to Construction of binary multi-grid Markov random field prior models from training images (Q500730):
Displaying 11 items.
- Fast wavelet-based stochastic simulation using training images (Q722820) (← links)
- Using multiple grids in Markov mesh facies modeling (Q745871) (← links)
- Improving the pattern reproducibility of multiple-point-based prior models using frequency matching (Q888360) (← links)
- High-order spatial simulation using Legendre-like orthogonal splines (Q1622854) (← links)
- Joint high-order simulation of spatially correlated variables using high-order spatial statistics (Q1698332) (← links)
- A segmentation approach for stochastic geological modeling using hidden Markov random fields (Q2360990) (← links)
- Prior specification of neighbourhood and interaction structure in binary Markov random fields (Q2361450) (← links)
- Approximate computations for binary Markov random fields and their use in Bayesian models (Q2361473) (← links)
- A new non-stationary high-order spatial sequential simulation method (Q2676517) (← links)
- Fully Bayesian Binary Markov Random Field Models: Prior Specification and Posterior Simulation (Q3460656) (← links)
- High-order data-driven spatial simulation of categorical variables (Q6084342) (← links)
