% Publications - Eirik Myrvoll-Nilsen
% https://eirikmyrvollnilsen.com/publications
% 15 entries, generated 2026-08-26
@article{hummel2026non,
  title = {Non-linear forcing increases uncertainty in detecting a destabilization of the Atlantic Meridional Overturning Circulation},
  author = {Hummel, Clara and Cotronei, Alessandro and Myrvoll-Nilsen, Eirik and Aksamit, Nikolas and Rypdal, Martin},
  journal = {Frontiers in Climate},
  volume = {8},
  pages = {1826661},
  year = {2026},
  doi = {https://doi.org/10.3389/fclim.2026.1826661},
  publisher = {Frontiers Media SA}
}

@article{cotroneievaluating,
  title = {Evaluating Model Uncertainty in Critical Threshold Estimations from Time Series Data: Application to the Atlantic Meridional Overturning Circulation},
  author = {Cotronei, Alessandro and Myrvoll-Nilsen, Eirik and Rypdal, Martin},
  journal = {Frontiers in Climate},
  volume = {8},
  year = {2026},
  pages = {1761461},
  doi = {https://doi.org/10.3389/fclim.2026.1761461}
}

@article{sorbye2026identification,
  title = {Bayesian identification of early warning signals for long-range dependent climatic time series},
  author = {Sørbye, Sigrunn H. and Myrvoll-Nilsen, Eirik and Rue, Håvard},
  journal = {arXiv},
  year = {2026},
  type = {preprint},
  url = {https://arxiv.org/abs/2602.09731},
  doi = {https://doi.org/10.48550/arXiv.2602.09731}
}

@article{morr2026extrapolation,
  title = {Extrapolation from historical data cannot reliably predict the time of a potential {AMOC} collapse},
  author = {Morr, Andreas and Ben-Yami, Maya and Groenke, Brian and Sch{\"o}tz, Christof and Cotronei, Alessandro and Myrvoll-Nilsen, Eirik and Bathiany, Sebastian and Rypdal, Martin and Boers, Niklas},
  journal = {arXiv},
  year = {2026},
  type = {preprint},
  url = {https://arxiv.org/abs/2604.20341},
  doi = {https://doi.org/10.48550/arXiv.2604.20341}
}

@article{myrvoll2025synchronization,
  title = {Synchronization of Layer-Counted Paleoclimatic Proxy Archives Using a Bayesian Regression Modeling Framework},
  author = {Myrvoll-Nilsen, Eirik and Riechers, Keno and Boers, Niklas},
  journal = {Bayesian Analysis},
  volume = {1},
  number = {1},
  pages = {1--20},
  year = {2025},
  publisher = {International Society for Bayesian Analysis},
  doi = {https://doi.org/10.1214/25-BA1509}
}

@article{hallali2025assessing,
  title = {Assessing AMOC stability using a Bayesian nested time-dependent autoregressive model},
  author = {Hallali, Luc and Myrvoll-Nilsen, Eirik and Franzke, Christian LE},
  journal = {Nonlinear Processes in Geophysics},
  volume = {32},
  number = {4},
  pages = {383--395},
  year = {2025},
  publisher = {Copernicus GmbH},
  doi = {https://doi.org/10.5194/npg-32-383-2025}
}

@article{myrvoll2025bayesian,
  title = {Bayesian analysis of early warning signals using a time-dependent model},
  author = {Myrvoll-Nilsen, Eirik and Hallali, Luc and Rypdal, Martin},
  journal = {Earth System Dynamics},
  volume = {16},
  number = {5},
  pages = {1539--1556},
  year = {2025},
  publisher = {Copernicus Publications G{\"o}ttingen, Germany},
  doi = {https://doi.org/10.5194/esd-16-1539-2025}
}

@article{martinsen2025quantifying,
  title = {Quantifying uncertainty in foraminifera classification: How deep learning methods compare to human experts},
  author = {Martinsen, Iver and Sørensen, Steffen Aagaard and Ortega, Samuel and Godtliebsen, Fred and Tejedor, Miguel and Myrvoll-Nilsen, Eirik},
  journal = {Artificial Intelligence in Geosciences},
  pages = {100145},
  year = {2025},
  publisher = {Elsevier},
  doi = {https://doi.org/10.1016/j.aiig.2025.100145}
}

@article{myrvoll2024divas,
  author = {Godtliebsen, Fred and Myrvoll-Nilsen, Eirik and Holmström, Lasse},
  doi = {https://doi.org/10.1007/s11749-024-00937-7},
  journal = {TEST},
  type = {comment},
  volume = {33},
  pages = {683--685},
  title = {Comments on: Data integration via analysis of subspaces (DIVAS)},
  year = {2024}
}

@article{MyrvollNilsen2022,
  author = {Myrvoll-Nilsen, Eirik and Riechers, Keno and Rypdal, Martin Wibe and Boers, Niklas},
  doi = {https://doi.org/10.5194/cp-18-1275-2022},
  journal = {Climate of the Past},
  volume = {18},
  pages = {1275--1294},
  title = {Comprehensive uncertainty estimation of the timing of Greenland warmings in the Greenland ice core records},
  year = {2022}
}

@article{myrvoll2020statistical,
  title = {Statistical estimation of global surface temperature response to forcing under the assumption of temporal scaling},
  author = {Myrvoll-Nilsen, Eirik and Sørbye, Sigrunn Holbek and Fredriksen, Hege-Beate and Rue, Håvard and Rypdal, Martin},
  journal = {Earth System Dynamics},
  volume = {11},
  number = {2},
  pages = {329--345},
  year = {2020},
  publisher = {Copernicus GmbH},
  doi = {https://doi.org/10.5194/esd-11-329-2020}
}

@phdthesis{myrvoll2020efficient,
  title = {Efficient Bayesian analysis of long memory processes applied to climate},
  author = {Myrvoll-Nilsen, Eirik},
  journal = {UiT The Arctic University of Norway},
  year = {2020},
  type = {phdthesis},
  doi = {https://hdl.handle.net/10037/18148}
}

@article{myrvoll2019warming,
  title = {Warming trends and long-range dependent climate variability since year 1900: A Bayesian approach},
  author = {Myrvoll-Nilsen, Eirik and Fredriksen, Hege-Beate and Sørbye, Sigrunn H and Rypdal, Martin},
  journal = {Frontiers in Earth Science},
  volume = {7},
  pages = {214},
  year = {2019},
  publisher = {Frontiers Media SA},
  doi = {https://doi.org/10.3389/feart.2019.00214}
}

@article{Sorbye2019,
  author = {Sørbye, Sigrunn Holbek and Myrvoll-Nilsen, Eirik and Rue, Håvard},
  title = {An approximate fractional Gaussian noise model with $O(n)$ computational cost},
  journal = {Statistics and Computing},
  volume = {29},
  pages = {821--833},
  year = {2019},
  doi = {https://doi.org/10.1007/s11222-018-9843-1}
}

@article{rypdal2018emergent,
  title = {Emergent scale invariance and climate sensitivity},
  author = {Rypdal, Martin and Fredriksen, Hege-Beate and Myrvoll-Nilsen, Eirik and Rypdal, Kristoffer and Sørbye, Sigrunn H},
  journal = {Climate},
  volume = {6},
  number = {4},
  pages = {93},
  year = {2018},
  publisher = {MDPI},
  doi = {https://doi.org/10.3390/cli6040093}
}