| Merging two gene-expression studies via cross-platform normalization AA Shabalin, H Tjelmeland, C Fan, CM Perou, AB Nobel Bioinformatics 24 (9), 1154-1160, 2008 | 277 | 2008 |
| Markov random fields with higher‐order interactions H Tjelmeland, J Besag Scandinavian Journal of Statistics 25 (3), 415-433, 1998 | 183 | 1998 |
| Bayesian CART: Prior specification and posterior simulation Y Wu, H Tjelmeland, M West Journal of Computational and Graphical Statistics 16 (1), 44-66, 2007 | 130 | 2007 |
| Non-linear Bayesian joint inversion of seismic reflection coefficients T Erik Rabben, H Tjelmeland, B Ursin Geophysical journal international 173 (1), 265-280, 2008 | 76 | 2008 |
| Simulation of random functions on large lattices H Omre, K Sølna, H Tjelmeland Geostatistics Tróia’92: Volume 1, 179-199, 1993 | 60 | 1993 |
| A Bayesian model for cross-study differential gene expression RB Scharpf, H Tjelmeland, G Parmigiani, AB Nobel Journal of the American Statistical Association 104 (488), 1295-1310, 2009 | 54 | 2009 |
| Stochastic simulation and conditioning by annealing in reservoir description BK Hegstad, H Omre, H Tjelmeland, K Tyler Geostatistical Simulations: Proceedings of the Geostatistical Simulation …, 1994 | 43 | 1994 |
| Modeling of facies architecture by marked point models O Lia, H Tjelmeland, L Kjellesvik, EY Baafi, NA Schofield Geostatistics Wollongong 96, 386-397, 1997 | 42 | 1997 |
| Stochastic models in reservoir characterization and Markov random fields for compact objects H Tjelmeland Unpublished doctoral dissertation, Norwegian University of Science and …, 1996 | 42 | 1996 |
| Bayesian modelling of spatial compositional data H Tjelmeland, KV Lund Journal of Applied Statistics 30 (1), 87-100, 2003 | 38 | 2003 |
| Validation of decompression procedures based on detection of venous gas bubbles: a Bayesian approach OS Eftedal, H Tjelmeland, AO Brubakk Aviation, space, and environmental medicine 78 (2), 94-99, 2007 | 32 | 2007 |
| Directional Metropolis: Hastings updates for posteriors with nonlinear likelihoods H Tjelmeland, J Eidsvik Geostatistics Banff 2004, 95-104, 2004 | 32 | 2004 |
| Construction of binary multi-grid Markov random field prior models from training images H Toftaker, H Tjelmeland Mathematical Geosciences 45, 383-409, 2013 | 30 | 2013 |
| Sampling from Bayesian models in reservoir characterization H Tjelmeland, H Omre, BK Hegstad ECMOR IV-4th European Conference on the Mathematics of Oil Recovery, cp-233 …, 1994 | 29 | 1994 |
| Lithology and fluid prediction from prestack seismic data using a Bayesian model with Markov process prior H Hammer, O Kolbjørnsen, H Tjelmeland, A Buland Geophysical Prospecting 60 (3), 500-515, 2012 | 28 | 2012 |
| Precision and reliability in animal navigation G Pfuhl, H Tjelmeland, R Biegler Bulletin of Mathematical Biology 73, 951-977, 2011 | 28 | 2011 |
| Semi-Markov random fields H Tjelmeland, L Holden Geostatistics Tróia’92: Volume 1, 479-491, 1993 | 27 | 1993 |
| Control variates for the Metropolis–Hastings algorithm H Hammer, H Tjelmeland Scandinavian Journal of Statistics 35 (3), 400-414, 2008 | 26 | 2008 |
| MOHERES, a program system for simulation of reservoir architecture and properties LM Fält, A Henriquez, L Holden, H Tjelmeland IOR 1991-6th European Symposium on Improved Oil Recovery, cp-44-00031, 1991 | 23 | 1991 |
| Large-scale barriers in extensively drilled reservoirs J Høiberg, H Omre, H Tjelmeland ECMOR II-2nd European Conference on the Mathematics of Oil Recovery, cp-231 …, 1990 | 23 | 1990 |
