Publications


Submitted

Parameter estimation in high dimensional Gaussian distributions, Aune, E., Simpson, D.P. and Eidsvik, J., Submitted for publication.

The value of information in mineral exploration, Eidsvik, J., and Ellefmo, S.L., Submitted for publication.

Dynamic decision making for graphical models applied to oil exploration, Martinelli, G., Eidsvik, J. and Hauge, R., Submitted for publication.

Estimation and prediction in spatial models with block composite likelihoods using parallel computing, Eidsvik, J., Shaby, B.A., Reich, B.J., Wheeler, M. and Niemi, J., Submitted for publication.

 

2012

Shrinked (1-alpha) ensemble Kalman filter and alpha particle filter, Rezaie, J. and Eidsvik, J., Accepted for publication in Computational Geosciences.

Iterative numerical methods for sampling from high dimensional Gaussian distributions, Aune, E., Eidsvik, J. and Pokern, Y., Accepted for publication in Statistics and Computing.

Approximate Bayesian inference for large spatial datasets using predictive process models, Eidsvik, J., Finley, A., Banerjee, S. and Rue, H., 2012, 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. 2011, 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., 2011, AAPG Bulletin, 1423-1442.
Positioning and position error of petroleum wells, Gjerde, T., Eidsvik, J., Nyrnes, E. and Bruun, B., 2011, Journal of Geodetic Sciences, 158-169.
Approximate Bayesian inference in SGLMM with skew normal latent variables, Hosseini, F., Eidsvik, J., and Mohammadzadeh, M., 2011, 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., 2010, Geophysics, C25-C35.
The Value of Information in Spatial Decision Making, Bhattacharjya, D., Eidsvik, J. and Mukerji, T., 2010, 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., 2009, Rock mechanics and rock engineering, 667-688.
Approximate Bayesian inference for spatial Generalized Linear Mixed Models, Eidsvik, J., Martino, S., and Rue, H., 2009, Scandinavian Journal of Statistics, 1-22.

2008

Value of information of seismic amplitude and CSEM resistivity, Eidsvik, J., Bhattacharjya, D., and Mukerji, T., 2008, Geophysics, R59-R69;

2007

3D-Pos model, Bruun, B., Eidsvik, J., and Nyrnes, E., 2007, Patent (GB)

2006

Positioning drill-bit and look-ahead events using seismic traveltime data, Eidsvik, J. and Hokstad, K., 2006, Geophysics, F79-F90.
On directional Metropolis--Hastings algorithms, Eidsvik, J. and Tjelmeland, H., 2006, 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., 2004, Geophysics, 978-993.
On the use of optimisations within Metropolis--Hastings updates, Tjelmeland, H. and Eidsvik, J., 2004, 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., 2004, 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.