Pages that link to "Item:Q943606"
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The following pages link to A comparative study of Gaussian geostatistical models and Gaussian Markov random field models (Q943606):
Displaying 16 items.
- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (Q68580) (← links)
- A comparison between Markov approximations and other methods for large spatial data sets (Q333683) (← links)
- Maximum likelihood estimation for generalized conditionally autoregressive models of spatial data (Q397221) (← links)
- A stochastic neighborhood conditional autoregressive model for spatial data (Q961743) (← links)
- Data-driven neighborhood selection of a Gaussian field (Q962389) (← links)
- Adaptive estimation of stationary Gaussian fields (Q973870) (← links)
- Maximum likelihood estimation for directional conditionally autoregressive models (Q988950) (← links)
- Spatial models for point and areal data using Markov random fields on a fine grid (Q1951143) (← links)
- Geostatistics for power models of Gaussian fields (Q2457847) (← links)
- Sampling Strategies for Fast Updating of Gaussian Markov Random Fields (Q5055469) (← links)
- Gilbert's disc model with geostatistical marking (Q5215035) (← links)
- THE CORRELATION STRUCTURE OF SPATIAL AUTOREGRESSIONS (Q5397674) (← links)
- Validation and comparison of geostatistical and spline models for spatial stream networks (Q6139150) (← links)
- Rapid Numerical approximation method for integrated covariance functions over irregular data regions (Q6541561) (← links)
- A large-scale spatio-temporal binomial regression model for estimating seroprevalence trends (Q6626025) (← links)
- Long memory conditional random fields on regular lattices (Q6626607) (← links)
