Search Results - person:"Omre, Henning" - EconBiz

Approximate posterior distributions for convolutional two-level hidden Markov models

Rimstad, Kjartan; Omre, Henning - In: Computational Statistics & Data Analysis 58 (2013) C, pp. 187-200

A convolutional two-level hidden Markov model is defined and evaluated. The bottom level contains an unobserved categorical Markov chain, and given the variables in this level the middle level contains unobserved conditionally independent Gaussian variables. The top level contains observable...

Persistent link: https://www.econbiz.de/10010871487

Uncertainty Quantification in the Ensemble Kalman Filter

Sætrom, Jon; Omre, Henning - In: Scandinavian Journal of Statistics 40 (2013) 4, pp. 868-885

Persistent link: https://www.econbiz.de/10011035998

Applications and Case Studies - Prediction of Reservoir Variables Based on Seismic Data and Well Observations

Eide, Alfhild Lien; Omre, Henning; Ursin, Bjørn - In: Journal of the American Statistical Association : JASA 97 (2002) 457, pp. 18-28

Persistent link: https://www.econbiz.de/10006617689

A comparison of rejection sampling and Metropolis-Hastings algorithm

Hegstad, Bjørn Kåre; Omre, Henning - 1997 - Preprint

Persistent link: https://www.econbiz.de/10000959869

Uncertainty assessment in history matching and forecasting

Hegstad, Bjørn Kåre; Omre, Henning - 1996 - Preprint

Persistent link: https://www.econbiz.de/10000950732

Spatial Interpolation Errors for Monitoring Data

Høst, Gudmund; Omre, Henning; Switzer, Paul - In: Journal of the American Statistical Association : JASA 90 (1995) 431, pp. 853-861

Persistent link: https://www.econbiz.de/10006634074

Sampling from Bayesian models in reservoir characterization

Tjelmeland, Håkon; Omre, Henning; Hegstad, Bjørn Kåre - 1994 - Preprint

Persistent link: https://www.econbiz.de/10000887155

Market point models with complex conditioning used for modelling of shales

Syversveen, Anne Randi; Omre, Henning - 1994 - Preprint

Persistent link: https://www.econbiz.de/10000887159

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