Anyosa, S., Eidsvik, J. and Pizarro, O. (2022). Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping. Computational Statistics & Data Analysis, 107643. Paper

Berild M.O., and Fuglstad, G-A. (2023). Spatially varying anisotropy for Gaussian random fields in three-dimensional space. Spatial Statistics. Paper

Foss, K. H., Berget, G. E., & Eidsvik, J. (2021). Using an autonomous underwater vehicle with onboard stochastic advection-diffusion models to map excursion sets of environmental variables. Environmetrics, e2702. Paper

Fossum, T. O., Travelletti, C., Eidsvik, J., Ginsbourger, D., & Rajan, K. (2021). Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling. The Annals of Applied Statistics, 15(2), 597-618. Paper

Ge, Y., Olaisen, A.J.H., Eidsvik, J., Jain, R.P. and Johansen, T.A., (2022). Long-Horizon Informative Path Planning with Obstacles and Time Constraints. IFAC-PapersOnLine, 55(31), pp.124-129.

Ge, Y., Eidsvik, J., and Mo-Bjørkelund, T. (2023), 3-D adaptive AUV sampling for classification of water masses. IEEE Journal of Oceanic Engineering. Paper

Rajan, K., Alvera-Azcarate, A., Eidsvik, J., and Subramaniam, A., (2023), Symposium on the Advances in Ocean Sampling. Paper

Earlier relevant references

2023-04-29, Jo Eidsvik