Pages that link to "Item:Q2245134"
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The following pages link to Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling (Q2245134):
Displaying 4 items.
- Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors (Q6109159) (← links)
- Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models -- with an application to benthic habitat mapping (Q6111519) (← links)
- Using an autonomous underwater vehicle with onboard stochastic advection-diffusion models to map excursion sets of environmental variables (Q6626416) (← links)
- Model-robust Bayesian design through generalised additive models for monitoring submerged shoals (Q6665460) (← links)
