Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling-Reference-Cited by-同舟云学术

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Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling

Published:2021-06-01 Issue:2 Volume:15 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Fossum Trygve Olav¹,Travelletti Cédric²,Eidsvik Jo³,Ginsbourger David²,Rajan Kanna⁴

Affiliation:

1. Department of Marine Technology, Norwegian University of Science and Technology (NTNU)

2. Institute of Mathematical Statistics and Actuarial Science, University of Bern

3. Department of Mathematical Sciences, NTNU

4. Underwater Systems and Technology Laboratory, Faculty of Engineering, University of Porto

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-vehicle adaptive 3D mapping for targeted ocean sampling;PLOS ONE;2024-05-08

2. Efficient 3D real-time adaptive AUV sampling of a river plume front;Frontiers in Marine Science;2024-01-17

3. 3-D Adaptive AUV Sampling for Classification of Water Masses;IEEE Journal of Oceanic Engineering;2023-07

4. Spatially varying anisotropy for Gaussian random fields in three-dimensional space;Spatial Statistics;2023-06

5. Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping;Computational Statistics & Data Analysis;2023-03

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