3 papers
stat.ME2020
Spatio-temporal Inversion using the Selection Kalman Model
Maxime Conjard, Henning Omre
Data assimilation in models representing spatio-temporal phenomena poses a challenge, particularly if the spatial histogram of the variable appears with multiple modes. The traditi…
stat.ME2018
Bayesian Spatial Inversion and Conjugate Selection Gaussian Prior Models
Henning Omre, Kjartan Rimstad
We introduce the concept of conjugate prior models for a given likelihood function in Bayesian spatial inversion. The conjugate class of prior models can be selection extended and…
physics.geo-ph2017
Bayesian inversion of convolved hidden Markov models with applications in reservoir prediction
Torstein Fjeldstad, Henning Omre
Efficient assessment of convolved hidden Markov models is discussed. The bottom-layer is defined as an unobservable categorical first-order Markov chain, while the middle-layer is…