Pages that link to "Item:Q883167"
From MaRDI portal
The following pages link to The necessity of a multiple-point prior model (Q883167):
Displaying 20 items.
- Extrapolating the fractal characteristics of an image using scale-invariant multiple-point statistics (Q434212) (← links)
- Construction of binary multi-grid Markov random field prior models from training images (Q500730) (← links)
- An improved parallel multiple-point algorithm using a list approach (Q539047) (← links)
- A comparison of random field models beyond bivariate distributions (Q632145) (← links)
- Special issue on 20 years of multiple-point statistics. I. (Q745859) (← links)
- Can a training image be a substitute for a random field model? (Q745860) (← links)
- Comparing training-image based algorithms using an analysis of distance (Q745862) (← links)
- A multiple training image approach for spatial modeling of geologic domains (Q887591) (← links)
- Improving the pattern reproducibility of multiple-point-based prior models using frequency matching (Q888360) (← links)
- History matching through a smooth formulation of multiple-point statistics (Q888368) (← links)
- Multiple-point simulations constrained by continuous auxiliary data (Q930831) (← links)
- Reconstruction of incomplete data sets or images using direct sampling (Q964861) (← links)
- Stationarity scores on training images for multipoint geostatistics (Q1028770) (← links)
- Exploiting transformation-domain sparsity for fast query in multiple-point geostatistics (Q1702367) (← links)
- Image transforms for determining fit-for-purpose complexity of geostatistical models in flow modeling (Q1705881) (← links)
- Enhanced multiple-point statistical simulation with backtracking, forward checking and conflict-directed backjumping (Q1740327) (← links)
- Entropy and information content of geostatistical models (Q2022108) (← links)
- High-order sequential simulation via statistical learning in reproducing kernel Hilbert space (Q2198926) (← links)
- Linear waveform tomography inversion using machine learning algorithms (Q2284092) (← links)
- Sampling strategies for uncertainty reduction in categorical random fields: formulation, mathematical analysis and application to multiple-point simulations (Q2325286) (← links)
