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

DOI10.1214/21-AOAS1451zbMath1478.62354arXiv2007.03722OpenAlexW3178168838MaRDI QIDQ2245134

David Ginsbourger, Cédric Travelletti, Trygve Olav Fossum, Kanna Rajan, Jo Eidsvik

Publication date: 15 November 2021

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2007.03722

zbMATH Keywords

Gaussian processesautonomous robotsexcursion setsexperimental designocean samplingadaptive information gathering

Mathematics Subject Classification ID

Gaussian processes (60G15) Optimal statistical designs (62K05) Applications of statistics to environmental and related topics (62P12) Sampling theory, sample surveys (62D05) Hydrology, hydrography, oceanography (86A05)

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