Pages that link to "Item:Q4632667"
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The following pages link to A Full Scale Approximation of Covariance Functions for Large Spatial Data Sets (Q4632667):
Displaying 16 items.
- Scalable computations for nonstationary Gaussian processes (Q6173565) (← links)
- Assessing fit in Bayesian models for spatial processes (Q6179536) (← links)
- Credible regions for exceedance sets of geostatistical data (Q6179607) (← links)
- Spatial data fusion for large non-Gaussian remote sensing datasets (Q6540535) (← links)
- Fixed-Domain Posterior Contraction Rates for Spatial Gaussian Process Model with Nugget (Q6567928) (← links)
- A review on computer model calibration (Q6604366) (← links)
- Spatial Statistical Downscaling for Constructing High-Resolution Nature Runs in Global Observing System Simulation Experiments (Q6621646) (← links)
- Meta-Kriging: Scalable Bayesian Modeling and Inference for Massive Spatial Datasets (Q6622449) (← links)
- An additive approximate Gaussian process model for large spatio-temporal data (Q6626104) (← links)
- Computationally efficient nonstationary nearest-neighbor Gaussian process models using data-driven techniques (Q6626105) (← links)
- Conjugate sparse plus low rank models for efficient Bayesian interpolation of large spatial data (Q6626522) (← links)
- Recursive nearest neighbor co-kriging models for big multi-fidelity spatial data sets (Q6626668) (← links)
- A Subsampling Method for Regression Problems Based on Minimum Energy Criterion (Q6631125) (← links)
- A Scalable Gaussian Process for Large-Scale Periodic Data (Q6631142) (← links)
- The Reconstruction Approach: From Interpolation to Regression (Q6631882) (← links)
- Bayesian Analysis of Multifidelity Computer Models With Local Features and Nonnested Experimental Designs: Application to the WRF Model (Q6631912) (← links)
