3 papers
stat.CO2018
A multiple-try Metropolis-Hastings algorithm with tailored proposals
Xin Luo, Håkon Tjelmeland
We present a new multiple-try Metropolis-Hastings algorithm designed to be especially beneficial when a tailored proposal distribution is available. The algorithm is based on a giv…
stat.AP2018
A Bayesian model for lithology/fluid class prediction using a Markov mesh prior fitted from a training image
Håkon Tjelmeland, Xin Luo, Torstein Fjeldstad
We consider a Bayesian model for inversion of observed amplitude variation with offset (AVO) data into lithology/fluid classes, and study in particular how the choice of prior dist…
stat.ME2017
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…