Pages that link to "Item:Q3636988"
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The following pages link to Hierarchical Spatial Modeling of Additive and Dominance Genetic Variance for Large Spatial Trial Datasets (Q3636988):
Displaying 9 items.
- Conditionally linear models for non-homogeneous spatial random fields (Q713950) (← links)
- Improving the performance of predictive process modeling for large datasets (Q961722) (← links)
- Multivariate spatial meta kriging (Q1726740) (← links)
- PC priors for residual correlation parameters in one-factor mixed models (Q2220301) (← links)
- Comparing and blending regional climate model predictions for the American Southwest (Q2261049) (← links)
- Spatial modelling of multinomial data with latent structure: an application to geographical mapping of human gene and haplotype frequencies (Q4512447) (← links)
- Modelling temporal genetic and spatio‐temporal residual effects for high‐throughput phenotyping data* (Q6051630) (← links)
- Meta-Kriging: Scalable Bayesian Modeling and Inference for Massive Spatial Datasets (Q6622449) (← links)
- A Scalable Gaussian Process for Large-Scale Periodic Data (Q6631142) (← links)
