Pages that link to "Item:Q4571217"
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The following pages link to Variable Selection for Gaussian Process Models using Experimental Design-Based Subagging (Q4571217):
Displaying 11 items.
- Computational enhancements to Bayesian design of experiments using Gaussian processes (Q516451) (← links)
- Model-robust subdata selection for big data (Q2063875) (← links)
- An Approach to Incorporate Subsampling Into a Generic Bayesian Hierarchical Model (Q5066475) (← links)
- Gaussian Process Prediction using Design-Based Subsampling (Q5066795) (← links)
- (Q5430299) (← links)
- Gaussian Process Subspace Prediction for Model Reduction (Q5864693) (← links)
- Information-based optimal subdata selection for non-linear models (Q6080687) (← links)
- Indicator-based Bayesian variable selection for Gaussian process models in computer experiments (Q6115542) (← links)
- A review on design inspired subsampling for big data (Q6549149) (← links)
- Sensitivity Prewarping for Local Surrogate Modeling (Q6631098) (← links)
- A Subsampling Method for Regression Problems Based on Minimum Energy Criterion (Q6631125) (← links)
