1 citations · 2 across the 7 of their papers we have counts for
5 papers · 1 filter
A sparse matrix formulation of model-based ensemble Kalman filter
Håkon Gryvill, Håkon Tjelmeland
We introduce a computationally efficient variant of the model-based ensemble Kalman filter (EnKF). We propose two changes to the original formulation. First, we phrase the setup in…
Ensemble updating of binary state vectors by maximising the expected number of unchanged components
Margrethe Kvale Loe, Håkon Tjelmeland
In recent years, several ensemble-based filtering methods have been proposed and studied. The main challenge in such procedures is the updating of a prior ensemble to a posterior e…
Prior specification for binary Markov mesh models
Håkon Tjelmeland, Xin Luo
We propose prior distributions for all parts of the specification of a Markov mesh model. In the formulation we define priors for the sequential neighborhood, for the parametric fo…
Prior specification of neighbourhood and interaction structure in binary Markov random fields
Petter Arnesen, Håkon Tjelmeland
In this paper we propose a prior distribution for the clique set and dependence structure of binary Markov random fields (MRFs). In the formulation we allow both pairwise and highe…
Fully Bayesian binary Markov random field models: Prior specification and posterior simulation
Petter Arnesen, Håkon Tjelmeland
We propose a flexible prior model for the parameters of binary Markov random fields (MRF) defined on rectangular lattices and with maximal cliques defined from a template maximal c…