Pages that link to "Item:Q1028770"
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The following pages link to Stationarity scores on training images for multipoint geostatistics (Q1028770):
Displaying 11 items.
- A probability conditioning method (PCM) for nonlinear flow data integration into multipoint statistical facies simulation (Q632151) (← 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)
- High-order statistics of spatial random fields: Exploring spatial cumulants for modeling complex non-Gaussian and non-linear phenomena (Q848931) (← links)
- The necessity of a multiple-point prior model (Q883167) (← links)
- Special issue on 20 years of multiple-point statistics. II (Q887563) (← links)
- A multiple training image approach for spatial modeling of geologic domains (Q887591) (← links)
- Modeling channel forms and related sedimentary objects using a boundary representation based on non-uniform rational B-splines (Q1789176) (← links)
- Quantitative evaluation of multiple-point simulations using image segmentation and texture descriptors (Q2009876) (← links)
- On the use of different metrics for assessing complex pattern reproductions (Q5128965) (← links)
- High-order stochastic simulation of complex spatially Distributed natural phenomena (Q5962032) (← links)
