Håkon Tjelmeland

发表

Directional Metropolis-Hastings algorithms on hyperplanes.

Hugo Lewi Hammer, Håkon Tjelmeland, H. Tjelmeland, 2008 .

Approximate forward-backward algorithm for a switching linear Gaussian model

Hugo Hammer, Håkon Tjelmeland, H. Tjelmeland, 2011, Comput. Stat. Data Anal..

Prior specification for binary Markov mesh models

Xin Luo, Håkon Tjelmeland, H. Tjelmeland, 2017, Stat. Comput..

Simulation of Random Functions on Large Lattices

Henning Omre, Knut Sølna, Håkon Tjelmeland, 1993 .

Bayesian CART: Prior Specification and Posterior Simulation

Michael A. West, Håkon Tjelmeland, Yuhong Wu, 2007 .

Prior specification of neighbourhood and interaction structure in binary Markov random fields

Petter Arnesen, Håkon Tjelmeland, H. Tjelmeland, 2015, Stat. Comput..

Merging two gene-expression studies via cross-platform normalization

Andrew B. Nobel, Cheng Fan, Charles M. Perou, 2008, Bioinform..

Probabilistic reasoning in schizophrenia is volatile but not biased

Gerit Pfuhl, Håkon Tjelmeland, 2019 .

Identifying the Computational Parameters Gone Awry in Psychosis

Gerit Pfuhl, Håkon Tjelmeland, Kristin Sandvik, 2015, BIH.

Ignorance or awareness of changes measured in a probabilistic inference task

Gerit Pfuhl, Håkon Tjelmeland, Robert Biegler, 2017 .

A Bayesian Model for Cross-Study Differential Gene Expression

Giovanni Parmigiani, Håkon Tjelmeland, Andrew B Nobel, 2009, Journal of the American Statistical Association.

An Exponential Regression Model for Censored Failure Data: Estimation and Graphical Model Checking

Bo Henry Lindqvist, Håkon Tjelmeland, 2018 .

On directional Metropolis–Hastings algorithms

Jo Eidsvik, Håkon Tjelmeland, H. Tjelmeland, 2006, Stat. Comput..

Approximate computations for binary Markov random fields and their use in Bayesian models

Håkon Tjelmeland, Haakon Michael Austad, 2017, Stat. Comput..

Stochastic Simulation and Conditioning by Annealing in Reservoir Description

Henning Omre, Håkon Tjelmeland, Bjørn Kåre Hegstad, 1994 .

Non-linear Bayesian joint inversion of seismic reflection coefficients

Håkon Tjelmeland, Bjørn Ursin, B. Ursin, 2008 .

Lithology and fluid prediction from prestack seismic data using a Bayesian model with Markov process prior

Hugo Lewi Hammer, Arild Buland, Håkon Tjelmeland, 2012 .

Calcite Cementation: Description and Production Consequences

Henning Omre, Knut Sølna, Håkon Tjelmeland, 1990 .

Exact and Approximate Recursive Calculations for Binary Markov Random Fields Defined on Graphs

Håkon Tjelmeland, Haakon Michael Austad, H. Tjelmeland, 2012 .

Norges Teknisk-naturvitenskapelige Universitet Control Variates for the Metropolis-hastings Algorithm Control Variates for the Metropolis-hastings Algorithm

Hugo Lewi Hammer, Håkon Tjelmeland, H. Tjelmeland, 2022 .

Markov Random Fields with Higher‐order Interactions

Håkon Tjelmeland, Julian Besag, J. Besag, 1998 .

Bayesian modelling of spatial compositional data

Håkon Tjelmeland, H. Tjelmeland, Kjetill Vassmo Lund, 2003 .

Semi-Markov Random Fields

Håkon Tjelmeland, Lars Holden, L. Holden, 1993 .

Non-linear Bayesian joint inversion of seismic reflection coefficients

Håkon Tjelmeland, Bjørn Ursin, B. Ursin, 2007 .

Sampling from Bayesian Models in Reservoir Characterization

Henning Omre, Håkon Tjelmeland, BjørnKåre Hegstad, 1994 .

Construction of Binary Multi-grid Markov Random Field Prior Models from Training Images

Håkon Tjelmeland, Håkon Toftaker, H. Tjelmeland, 2013, Mathematical Geosciences.

Bayesian calibration of hydrocarbon reservoir models using an approximate reservoir simulator in the prior specification

Håkon Tjelmeland, Ole Petter Lødøen, H. Tjelmeland, 2010 .