Publications

 

2017

Efficient designs for Bayesian Networks with sub-tree bounds, Lilleborge, M. and Eidsvik, J., Statistics and computing, 301-318.

The value of information for correlated GLMs, Evangelou, E. and Eidsvik, J., Journal of statistical planning and inference, 30-48.

 

2016

A skewed unscented Kalman filter, Rezaie, J. and Eidsvik, J., International Journal of Control, 2572-2583.

A fused lasso approach to nonstationary spatial covariance estimation, Parker, R.J., Reich, B.J. and Eidsvik, J., Journal of agricultural, biological and environmental statistics, 569-587.

Information gathering in Bayesian Networks applied to petroleum prospects, Lilleborge, M., Hauge, R. and Eidsvik, J., Mathematical geosciences, 233-257.

A parametric model for seismic wavelets - with estimation and uncertainty quantification, Skauvold, J., Eidsvik, J. and Theune, U., Geophysical journal international, 796-809.

 

2015

Value of Information in the Earth Sciences, Eidsvik, J., Mukerji, T., and Bhattacharjya, D., Cambridge University Press.(385 p)

 

2014

Strategies for petroleum exploration based on Bayesian Networks : a case study, Martinelli, G., Eidsvik, J., Hokstad, K., and Hauge, R.SPE journal, 564-575.

Value of information analysis and Bayesian inversion for closed skew-Normal distributions: applications to seismic amplitude versus offset data, Rezaie, J., Eidsvik, J., and Mukerji, T. Geophysics, R151-R163.

Estimation and prediction in spatial models with block composite likelihoods, Eidsvik, J., Shaby, B.A., Reich, B.J., Wheeler, M. and Niemi, J. Journal of Computational and Graphical Statistics, 295-315.

Kalman filter variants in the closed skew-Normal setting, Rezaie, J. and Eidsvik, J. Computational Statistics and Data Analysis, 1-14.

Dynamic exploration designs for graphical models using clustering with applications to petroleum exploration, Martinelli, G. and Eidsvik, J., KNOSYS, 113-126.

Parameter estimation in high dimensional Gaussian distributions, Aune, E., Simpson, D.P. and Eidsvik, J., Statistics and Computing, 247-263.

 

2013

The value of information in portfolio problems with dependent projects Bhattacharjya, D., Eidsvik, J., and Mukerji, T. Decision analysis, 341-351.

Dynamic decision making for graphical models applied to oil exploration, Martinelli, G., Eidsvik, J. and Hauge, R., European Journal of Operational Research, 688-702.

The value of information in mineral exploration within a multi-Gaussian framework, Eidsvik, J., and Ellefmo, S.L., Mathematical Geosciences, 777-798.

Three dimensional non-stationary and non-linear AVA inversion, Aune, E., Eidsvik, J., and Ursin, B., Geophysical Journal International, 787-803.

Building Bayesian Networks from Basin Modeling scenarios for improved geological decision making, Martinelli, G., Eidsvik, J., Sinding-Larsen, R., Rekstad, S., and Mukerji, T.,Petroleum Geoscience, 289-304.

Iterative numerical methods for sampling from high dimensional Gaussian distributions, Aune, E., Eidsvik, J. and Pokern, Y., Statistics and Computing, 501-521.

2012

Shrinked (1-alpha) ensemble Kalman filter and alpha particle filter, Rezaie, J. and Eidsvik, J., Computational Geosciences, 837-852.

Approximate Bayesian inference for large spatial datasets using predictive process models, Eidsvik, J., Finley, A., Banerjee, S. and Rue, H., Computational Statistics and Data Analysis, 1362-1380.

2011

A class of covariate-dependent spatiotemporal covariance functions , Reich, B., Eidsvik, J., Guindani, M., Nail, A., and Schmidt, A., Annals of Applied Statistics, 2425-2447.
Bayesian networks for prospect analysis in the North Sea, Martinelli, G., Eidsvik, J., Hauge, R., and Forland, M.D., AAPG Bulletin, 1423-1442.
Positioning and position error of petroleum wells, Gjerde, T., Eidsvik, J., Nyrnes, E. and Bruun, B., Journal of Geodetic Sciences, 158-169.
Approximate Bayesian inference in SGLMM with skew normal latent variables, Hosseini, F., Eidsvik, J., and Mohammadzadeh, M., Computational Statistics and Data Analysis, 1791-1806.

2010

Analysis of a prior model for a blocky inversion of seismic amplitude versus offset data, Theune, U., Jensaas, I.O., and Eidsvik, J., Geophysics, C25-C35.
The Value of Information in Spatial Decision Making, Bhattacharjya, D., Eidsvik, J. and Mukerji, T., Mathematical Geosciences, 42, 141-163.

2009

Local and spatial joint frequency uncertainty and its application to rock mass characterisation, Ellefmo, S. L. and Eidsvik, J., Rock mechanics and rock engineering, 667-688.
Approximate Bayesian inference for spatial Generalized Linear Mixed Models, Eidsvik, J., Martino, S., and Rue, H., Scandinavian Journal of Statistics, 1-22.

2008

Value of information of seismic amplitude and CSEM resistivity, Eidsvik, J., Bhattacharjya, D., and Mukerji, T., Geophysics, R59-R69.

2007

3D-Pos model, Bruun, B., Eidsvik, J., and Nyrnes, E., Patent (GB)

2006

Positioning drill-bit and look-ahead events using seismic traveltime data, Eidsvik, J. and Hokstad, K., Geophysics, F79-F90.
On directional Metropolis--Hastings algorithms, Eidsvik, J. and Tjelmeland, H., Statistics and Computing, 93-106.

2005

Hidden Markov chains for indentifying geological features from seismic data, Eidsvik J., Gonzalez, E., and Mukerji, T., 2005, In Leuangthong, O. and Deutsch, C.V. (Eds.), Geostatistics Banff 2005, Springer, 737-742.
Directional Metropolis--Hastings updates for posteriors with nonlinear likelihoods, Tjelmeland H., and Eidsvik J., 2005, In Leuangthong, O. and Deutsch, C.V. (Eds.), Geostatistics Banff 2005, Springer, 95-104.

2004

Stochastic reservoir characterization using prestack seismic data, Eidsvik, J., Avseth, P., Omre, H., Mukerji, T. and Mavko, G., Geophysics, 978-993.
On the use of optimisations within Metropolis--Hastings updates, Tjelmeland, H. and Eidsvik, J., Journal of Royal Statistical Society, Series B, 411-427.
Estimation of geological attributes from a well log: an application of hidden markov chains, Eidsvik, J., Mukerji, T. and Switzer, P., Mathematical Geology, 379-397.

2002

Seismic reservoir prediction using Bayesian integration of rock physics and Markov random fields: A North Sea example, Eidsvik, J., Omre, H., Mukerji, T., Mavko, G. and Avseth, P., 2002, The Leading Edge, 290-294.