Ole Bernhard Forberg (2021). Bayesian inversion of seismic data using multimodal selection Gaussian prior models.

Margrethe Kvale Loe (2021). Ensemble updating for a state-space model with categorical variables.

Maxime Conjard (2021). The selection Kalman model - Data assimilation for spatio-temporal variables with multimodal spatial histograms.

Torstein Fjelstad (2020). Spatial Gaussian mixture models applied to Bayesian seismic inversion.

Michael Gineste (2020). Seismic waveform inversion using the iterative ensemble Kalman smoother

Jacopo Paglia (2020). Statistical modeling for safer drilling operations.

Xin Luo (2018): Bayesian inference for Markov mesh models – applied to inversion of seismic data.

Jacob Skauvold (2018): Ensemble-based data assimilation methods applied to geological process modeling.

Petter Arnesen (2015): Prior construction for discrete Markov models.

David Volent Lindberg (2014): Inference and categorical Bayesian inversion of convolved hidden Markov models applied to geophysical observations.

Zeytu Gashaw Asfaw (2014): Inference and prediction in non-stationary stochastic models: Survival analysis and Kriging interpolation.

Javad Rezaie (2013): A Bayesian inversion approach to filtering and decision making with applications to reservoir characterization.

Håkon Toftaker (2013): Modelling and parameter estimation for discrete random fields and spatial point processes.

Erlend Aune (2012): Computation and modeling for high dimensional Gaussian distributions.

Kjartan Rimstad (2012): Spatial mixture modelig based on latent random fields applied to seismic inversion.

Gabriele Martinelli (2012): Petroleum exploration with Bayesian networks: From prospect risk assessment to optimal exploration

Haakon Michael Austad (2011): Approximations of binary Markov random fields.

Jon Sætrom (2010): Reduction of dimensionality in spatiotemporal models.

Tor Erik Rabben (2009): Non-linear Bayesian inversion of seismic reflection amplitudes.

Marit Ulvmoen (2009): Markov random fields in prestack seismic inversion into lithology/fluid classes.

Inge Myrseth (2009): Uncertainty Assessment in ensemble Kalman filters.

Trond Sagerup (terminated).

Hugo Lewi Hammer (2008). Topics in stochastic simulation, with an application to seismic inversion.

Vegard R. Stenerud (2007): Multiscale-streamline inversion for high-resolution reservoir models.

Ole Petter Lødøen (2005): Uncertainty in complex spatial-temporal models: Production history conditioning in reservoir evaluation.

Jo Røislien (2004): Random field models and near well reservoir characterization.

Stig-Kyrre Foss (2004): Depth consistent pp and ps seismic angle tomography.

Jo Eidsvik (2003): Markov chain Monte Carlo algorithms and their applications to petroleum reservoir characterization.

Ayele Taye Goshu (2003): Spatial statistics in ground water modelling.

Arild Buland (2002): Bayesian seismic AVO inversion.

Odd Kolbjørnsen (2002): Nonlinear topics in the Bayesian approach to inverse problems with applications to seismic inversion.

Thomas Gorm Theting (2001): Numerical solutions of stochastic partial differential equations.

Klaus Lykke Dagø (terminated).

Hilde Grude Borgos (2000): Stochastic modeling and statistical inference of geological fault populations and patterns.

Alfhild Lien Eide (1999). Stochastic reservoir characterization constrained by seismic data.

Anne Randi Syversveen (1997): Spatial stochastic point models for reservoir characterization.

Bjørn Kåre Hegstad (1997): Sampling from stochastic reservoir models constrained by production data.