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
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
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
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
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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