Bilde av Myrvoll-Nilsen, Eirik
Bilde av Myrvoll-Nilsen, Eirik
Postdoktor Department of Mathematics and Statistics eirik.myrvoll-nilsen@uit.no +4777645724 You can find me here

Eirik Myrvoll-Nilsen



  • Fred Godtliebsen, Eirik Myrvoll-Nilsen, Lasse Holmström :
    Comments on: Data integration via analysis of subspaces (DIVAS)
    Test (Madrid) 2024
  • Eirik Myrvoll-Nilsen, Keno Riechers, Martin Wibe Rypdal, Niklas Boers :
    Comprehensive uncertainty estimation of the timing of Greenland warmings in the Greenland ice core records
    Climate of the Past 2022 ARKIV / DOI
  • Eirik Myrvoll-Nilsen, Sigrunn Holbek Sørbye, Hege-Beate Fredriksen, Håvard Rue, Martin Wibe Rypdal :
    Statistical estimation of global surface temperature response to forcing under the assumption of temporal scaling
    Earth System Dynamics (ESD) 2020 ARKIV / DOI
  • Eirik Myrvoll-Nilsen, Hege-Beate Fredriksen, Sigrunn Holbek Sørbye, Martin wibe Rypdal :
    Warming trends and long-range dependent climate variability since year 1900: A Bayesian approach
    Frontiers in Earth Science 2019 ARKIV / DOI
  • Sigrunn Holbek Sørbye, Eirik Myrvoll-Nilsen, Håvard Rue :
    An approximate fractional Gaussian noise model with O(n) computational cost
    Statistics and computing 2018 DOI
  • Martin wibe Rypdal, Hege-Beate Fredriksen, Eirik Myrvoll-Nilsen, Kristoffer Rypdal, Sigrunn Holbek Sørbye :
    Emergent scale invariance and climate sensitivity
    Climate 2018 ARKIV / DOI
  • Steffen Aagaard Sørensen, Eirik Myrvoll-Nilsen, Iver Martinsen, Fred Godtliebsen, Stamatia Galata, Juho Junttila et al.:
    Detection and identification of environmental faunal proxies in digital images and video footage from northern Norwegian fjords and coastal waters using deep learning object detection algorithms
    2024
  • Eirik Myrvoll-Nilsen, Steffen Aagaard-Sørensen, Stamatia Galata, Thomas Haugland Johansen, Iver Martinsen, Morten Hald et al.:
    Automated classification of microscopic foraminifera
    2023
  • Eirik Myrvoll-Nilsen, Steffen Aagaard-Sørensen, Stamatia Galata, Thomas Haugland Johansen, Iver Martinsen, Morten Hald et al.:
    Automating object detection and classification of foraminifera
    2023
  • Steffen Aagaard Sørensen, Eirik Myrvoll-Nilsen, Stamatia Galata, Thomas Haugland Johansen, Iver Martinsen, Morten Hald et al.:
    Automated image/video classification and object detection of foraminifera
    2023
  • Eirik Myrvoll-Nilsen, Keno Riechers, Niklas Boers :
    Synchronization of layer-counted archives using a statistical age-depth model
    2022
  • Eirik Myrvoll-Nilsen, Niklas Boers, Martin Wibe Rypdal, Keno Riechers :
    Quantification of the dating uncertainties in Greenland ice core records
    2021
  • Eirik Myrvoll-Nilsen, Niklas Boers, Martin Wibe Rypdal, Keno Riechers :
    A statistical model for dating uncertainties in Greenland ice core records
    2021
  • Eirik Myrvoll-Nilsen :
    Efficient Bayesian analysis of long memory processes applied to climate
    UiT Norges arktiske universitet 2020
  • Eirik Myrvoll-Nilsen, Sigrunn Holbek Sørbye, Hege-Beate Fredriksen, Martin wibe Rypdal :
    A statistical model for global surface temperature response to radiative forcing with long-range dependent noise
    2019
  • Sigrunn Holbek Sørbye, Eirik Myrvoll-Nilsen, Martin wibe Rypdal, Hege-Beate Fredriksen, Håvard Rue :
    Bayesian analysis of temperature series accounting for long-range dependence and climate forcing
    2019
  • Eirik Myrvoll-Nilsen, Sigrunn Holbek Sørbye :
    Incorporating long-range dependency into Bayesian spatio-temporal modeling
    2019
  • Eirik Myrvoll-Nilsen, Sigrunn Holbek Sørbye, Martin wibe Rypdal, Hege-Beate Fredriksen, Håvard Rue :
    Modeling global surface temperatures in terms of climate forcing and a long-memory stochastic process
    2018
  • Eirik Myrvoll-Nilsen, Sigrunn Holbek Sørbye, Martin wibe Rypdal, Hege-Beate Fredriksen, Håvard Rue :
    Modeling global surface temperatures in terms of climate forcing and a long-memory stochastic process
    2018
  • Eirik Myrvoll-Nilsen, Sigrunn Holbek Sørbye, Håvard Rue :
    Computationally efficient Bayesian approximation of fractional Gaussian noise
    2017
  • Sigrunn Holbek Sørbye, Eirik Myrvoll-Nilsen, Håvard Rue :
    An approximate fractional Gaussian noise model with O(n) computational cost
    2017 FULLTEKST

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