On directional Metropolis-Hastings algorithms. - Jo Eidsvik; Håkon Tjelmeland (Stat. Comput., 2006)

Approximate Bayesian inference in spatial GLMM with skew normal latent variables. - Fatemeh Hosseini; Jo Eidsvik; Mohsen Mohammadzadeh (Comput. Stat. Data Anal., 2011)

Approximate Bayesian inference for large spatial datasets using predictive process models. - Jo Eidsvik; Andrew O. Finley; Sudipto Banerjee; Håvard Rue (Comput. Stat. Data Anal., 2012)

The Value of Information in Portfolio Problems with Dependent Projects. - Debarun Bhattacharjya; Jo Eidsvik; Tapan Mukerji (Decis. Anal., 2013)

Dynamic decision making for graphical models applied to oil exploration. - Gabriele Martinelli; Jo Eidsvik; Ragnar Hauge (Eur. J. Oper. Res., 2013)

Iterative numerical methods for sampling from high dimensional Gaussian distributions. - Erlend Aune; Jo Eidsvik; Yvo Pokern (Stat. Comput., 2013)

Kalman filter variants in the closed skew normal setting. - Javad Rezaie; Jo Eidsvik (Comput. Stat. Data Anal., 2014)

Dynamic exploration designs for graphical models using clustering with applications to petroleum exploration. - Gabriele Martinelli; Jo Eidsvik (Knowl. Based Syst., 2014)

Parameter estimation in high dimensional Gaussian distributions. - Erlend Aune; Daniel P. Simpson; Jo Eidsvik (Stat. Comput., 2014)

A skewed unscented Kalman filter. - Javad Rezaie; Jo Eidsvik (Int. J. Control, 2016)

Efficient designs for Bayesian networks with sub-tree bounds. - Marie Lilleborge; Jo Eidsvik (Stat. Comput., 2017)

LIDAR Extended Object Tracking of a Maritime Vessel Using an Ellipsoidal Contour Model. - Kristian Amundsen Ruud; Edmund Førland Brekke; Jo Eidsvik (SDF, 2018)

Information-driven robotic sampling in the coastal ocean. - Trygve Olav Fossum; Jo Eidsvik; Ingrid Ellingsen; Morten Omholt Alver; Glaucia Moreira Fragoso; Geir Johnsen; Renato Mendes; Martin Ludvigsen; Kanna Rajan (J. Field Robotics, 2018)

Adaptive Underwater Robotic Sampling of Dispersal Dynamics in the Coastal Ocean. - Gunhild Elisabeth Berget; Jo Eidsvik; Morten Omholt Alver; Frédéric Py; Esten Ingar Grøtli; Tor Arne Johansen (ISRR, 2019)

Toward adaptive robotic sampling of phytoplankton in the coastal ocean. - Glaucia Moreira Fragoso; Emlyn J. Davies; Jenny E. Ullgren; Renato Mendes; Geir Johnsen; Ingrid Ellingsen; Jo Eidsvik; Martin Ludvigsen; Kanna Rajan (Sci. Robotics, 2019)

Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling. - Trygve Olav Fossum; Cédric Travelletti; Jo Eidsvik; David Ginsbourger; Kanna Rajan (CoRR, 2020)

Value of Information Analysis for Complex Simulator Models: Application to Wind Farm Maintenance. - Hans Olav Vogt Myklebust; Jo Eidsvik; Iver Bakken Sperstad; Debarun Bhattacharjya (Decis. Anal., 2020)

Compact models for adaptive sampling in marine robotics. - Trygve Olav Fossum; John P. Ryan 001; Tapan Mukerji; Jo Eidsvik; Thom Maughan; Martin Ludvigsen; Kanna Rajan (Int. J. Robotics Res., 2020)

VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance Evaluated on Non-stationary Seismic Signal Time Series. - Daesoo Lee; Erlend Aune; Nadège Langet; Jo Eidsvik (CoRR, 2022)

Adaptive spatial designs minimizing the integrated Bernoulli variance in spatial logistic regression models - with an application to benthic habitat mapping. - Susan C. Anyosa; Jo Eidsvik; Oscar Pizarro (Comput. Stat. Data Anal., 2023)

Dynamic stochastic modeling for adaptive sampling of environmental variables using an AUV. - Gunhild Elisabeth Berget; Jo Eidsvik; Morten Omholt Alver; Tor Arne Johansen (Auton. Robots, 2023)

Edge Computing in Distributed Acoustic Sensing: An Application in Traffic Monitoring. - Khanh Truong; Jo Eidsvik; Robin André Rørstadbotnen (CoRR, 2024)

Evaluating geophysical monitoring strategies for a CO2 storage project. - Susan C. Anyosa; Jo Eidsvik; Dario Grana (Comput. Geosci., 2024)

Latent diffusion model for conditional reservoir facies generation. - Daesoo Lee; Oscar Ovanger; Jo Eidsvik; Erlend Aune; Jacob Skauvold; Ragnar Hauge (Comput. Geosci., 2025)

Local conditioning in posterior sampling methods with example cases in subsurface inversion. - Mina Spremic; Jo Eidsvik; Thomas Mejer Hansen (Comput. Geosci., 2025)

Multi-level data assimilation for ocean forecasting using the shallow-water equations. - Florian Beiser; Håvard Heitlo Holm; Kjetil Olsen Lye; Jo Eidsvik (J. Comput. Phys., 2025)

RRT*-enhanced long-horizon path planning for AUV adaptive sampling using a cost valley. - Yaolin Ge; Jo Eidsvik; André Julius Hovd Olaisen (Knowl. Based Syst., 2025)

PointSSIM: A novel low dimensional resolution invariant image-to-image comparison metric. - Oscar Ovanger; Ragnar Hauge; Jacob Skauvold; Michael J. Pyrcz; Jo Eidsvik (CoRR, 2025)