Håkon Tjelmeland

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All published works

Action	Title	Year	Authors
+ PDF Chat	Approximate Bayesian Inference Based on Expected Evaluation	2023	Hugo Lewi Hammer Michael A. Riegler Håkon Tjelmeland
+ PDF Chat	A Sparse Matrix Formulation of Model-Based Ensemble Kalman Filter	2023	Håkon Gryvill Håkon Tjelmeland
+	A sparse matrix formulation of model-based ensemble Kalman filter	2022	Håkon Gryvill Håkon Tjelmeland
+	A generalised and fully Bayesian framework for ensemble updating	2021	Margrethe Kvale Loe Håkon Tjelmeland
+	Ensemble updating of binary state vectors by maximising the expected number of unchanged components	2019	Margrethe Kvale Loe Håkon Tjelmeland
+ PDF Chat	A multiple-try Metropolis–Hastings algorithm with tailored proposals	2019	Xin Luo Håkon Tjelmeland
+ PDF Chat	Ensemble Updating of Binary State Vectors by Maximising the Expected Number of Unchanged Components	2019	Margrethe Kvale Loe Håkon Tjelmeland
+	Ensemble updating of binary state vectors by maximising the expected number of unchanged components	2019	Margrethe Kvale Loe Håkon Tjelmeland
+	A Bayesian model for lithology/fluid class prediction using a Markov mesh prior fitted from a training image	2018	Håkon Tjelmeland Xin Luo Torstein Fjeldstad
+ PDF Chat	Prior specification for binary Markov mesh models	2018	Xin Luo Håkon Tjelmeland
+	A multiple-try Metropolis-Hastings algorithm with tailored proposals	2018	Xin Luo Håkon Tjelmeland
+	A Bayesian model for lithology/fluid class prediction using a Markov mesh prior fitted from a training image	2018	Håkon Tjelmeland Xin Luo Torstein Fjeldstad
+	Prior specification for binary Markov mesh models	2017	Håkon Tjelmeland Xin Luo
+	Approximate computations for binary Markov random fields and their use in Bayesian models	2016	Haakon Michael Austad Håkon Tjelmeland
+ PDF Chat	Prior specification of neighbourhood and interaction structure in binary Markov random fields	2016	Petter Arnesen Håkon Tjelmeland
+	A Flexible Markov Mesh Model for Facies Modelling	2015	Xin Luo Håkon Tjelmeland
+ PDF Chat	Fully Bayesian Binary Markov Random Field Models: Prior Specification and Posterior Simulation	2015	Petter Arnesen Håkon Tjelmeland
+	Prior specification of neighbourhood and interaction structure in binary Markov random fields	2015	Petter Arnesen Håkon Tjelmeland
+	Fully Bayesian binary Markov random field models: Prior specification and posterior simulation	2015	Petter Arnesen Håkon Tjelmeland
+	Approximations and bounds for binary Markov random fields	2015	Haakon Michael Austad Håkon Tjelmeland
+	Fully Bayesian binary Markov random field models: Prior specification and posterior simulation	2015	Petter Arnesen Håkon Tjelmeland
+	Prior specification of neighbourhood and interaction structure in binary Markov random fields	2015	Petter Arnesen Håkon Tjelmeland
+	Exact and Approximate Recursive Calculations for Binary Markov Random Fields Defined on Graphs	2012	Håkon Tjelmeland Haakon Michael Austad
+ PDF Chat	Bayesian calibration of hydrocarbon reservoir models using an approximate reservoir simulator in the prior specification	2010	Ole Petter Lødøen Håkon Tjelmeland
+ PDF Chat	Control Variates for the Metropolis–Hastings Algorithm	2008	Hugo Lewi Hammer Håkon Tjelmeland
+	Directional Metropolis-Hastings algorithms on hyperplanes.	2008	Hugo Lewi Hammer Håkon Tjelmeland
+	Bayesian CART: Prior Specification and Posterior Simulation	2007	Yuhong Wu Håkon Tjelmeland Mike West
+	On directional Metropolis–Hastings algorithms	2006	Jo Eidsvik Håkon Tjelmeland
+	On the Use of Local Optimizations within Metropolis–Hastings Updates	2004	Håkon Tjelmeland Jo Eidsvik
+	Mode Jumping Proposals in MCMC	2001	Håkon Tjelmeland Bjørn Kåre Hegstad
+	Markov Random Fields with Higher‐order Interactions	1998	Håkon Tjelmeland Julian Besag

Common Coauthors

Coauthor	Papers Together
Petter Arnesen	6
Xin Luo	6
Margrethe Kvale Loe	4
Haakon Michael Austad	3
Hugo Lewi Hammer	3
Torstein Fjeldstad	2
Håkon Gryvill	2
Jo Eidsvik	2
Mike West	1
Yuhong Wu	1
Bjørn Kåre Hegstad	1
Julian Besag	1
Ole Petter Lødøen	1
Xin Luo	1
Michael A. Riegler	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Image analysis with partially ordered markov models	1998	Noel Cressie Jennifer Newman	12
+	Reversible jump Markov chain Monte Carlo computation and Bayesian model determination	1995	Peter J. Green	9
+ PDF Chat	Bayesian Inference in Hidden Markov Random Fields for Binary Data Defined on Large Lattices	2009	Nial Friel A. N. Pettitt R. Reeves Ernst C. Wit	9
+	Spatial Interaction and the Statistical Analysis of Lattice Systems	1974	Julian Besag	7
+ PDF Chat	An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants	2006	Jesper Møller A. N. Pettitt R. Reeves Kasper K. Berthelsen	7
+	Exact sampling with coupled Markov chains and applications to statistical mechanics	1996	James Propp David Bruce Wilson	6
+	Fully Bayesian estimation of Gibbs hyperparameters for emission computed tomography data	1997	David Higdon J.E. Bowsher Valen E. Johnson Timothy G. Turkington D.R. Gilland R.J. Jaszczak	6
+	Monte Carlo sampling methods using Markov chains and their applications	1970	W. Keith Hastings	6
+	Fully Bayesian Approach to Image Restoration with an Application in Biogeography	1994	Juha Heikkinen Harri Högmander	5
+	On estimation in binary autologistic spatial models	2006	Michael Sherman Tatiyana V. Apanasovich Raymond J. Carroll	5
+	A double Metropolis–Hastings sampler for spatial models with intractable normalizing constants	2009	Faming Liang	5
+	A Tutorial on Image Analysis	2003	Merrilee Hurn Oddvar Husby Håvard Rue	5
+	Markov Chain Monte Carlo in Practice	1995	Walter R. Gilks Sylvia Richardson David J. Spiegelhalter	5
+	The Multiple-Try Method and Local Optimization in Metropolis Sampling	2000	Jun S. Liu Faming Liang Wing Hung Wong	5
+	Recursive computing and simulation-free inference for general factorizable models	2007	Nial Friel Håvard Rue	5
+	Optimum Monte-Carlo sampling using Markov chains	1973	Peter H. Peskun	4
+	Approximations of Binary Markov Random Fields	2011	Haakon Michael Austad	4
+	Mode Jumping Proposals in MCMC	2001	Håkon Tjelmeland Bjørn Kåre Hegstad	4
+	Markov Random Fields with Higher‐order Interactions	1998	Håkon Tjelmeland Julian Besag	4
+ PDF Chat	Bayesian inference for exponential random graph models	2010	Alberto Caimo Nial Friel	4
+ PDF Chat	Simulating normalizing constants: from importance sampling to bridge sampling to path sampling	1998	Andrew Gelman Xiao‐Li Meng	4
+ PDF Chat	Optimal Scaling of Discrete Approximations to Langevin Diffusions	1998	Gareth O. Roberts Jeffrey S. Rosenthal	4
+	Approximate computations for binary Markov random fields and their use in Bayesian models	2016	Haakon Michael Austad Håkon Tjelmeland	4
+	Multipoint Metropolis Method with Application to Hybrid Monte Carlo	2001	Zhaohui Qin Jun S. Liu	3
+ PDF Chat	Bayesian Parameter Estimation for Latent Markov Random Fields and Social Networks	2012	Richard G. Everitt	3
+	Constrained Monte Carlo Maximum Likelihood for Dependent Data	1992	Charles J. Geyer E. A. Thompson	3
+	Markov chain Monte Carlo model determination for hierarchical and graphical log-linear models	1999	Πέτρος Δελλαπόρτας	3
+ PDF Chat	A conjugate prior for discrete hierarchical log-linear models	2009	Hélène Massam Jinnan Liu Adrian Dobra	3
+	MCMC for doubly-intractable distributions	2012	Iain Murray Zoubin Ghahramani David Mackay	3
+	An Introduction to MCMC	2003	Πέτρος Δελλαπόρτας Gareth O. Roberts	3
+ PDF Chat	Annealing Markov Chain Monte Carlo with Applications to Ancestral Inference	1995	Charles J. Geyer E. A. Thompson	3
+	Multigrid Monte Carlo method. Conceptual foundations	1989	Jonathan Goodman Alan D. Sokal	3
+	Exact and Approximate Recursive Calculations for Binary Markov Random Fields Defined on Graphs	2012	Håkon Tjelmeland Haakon Michael Austad	3
+ PDF Chat	Monte Carlo Statistical Methods	2000	Hoon Kim Christian P. Robert George Casella	3
+	Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images	1984	Stuart Geman Donald Geman	3
+ PDF Chat	Prior specification for binary Markov mesh models	2018	Xin Luo Håkon Tjelmeland	3
+ PDF Chat	Weak convergence and optimal scaling of random walk Metropolis algorithms	1997	Susan A. Gelman Walter R. Gilks Gareth O. Roberts	3
+ PDF Chat	Prior specification of neighbourhood and interaction structure in binary Markov random fields	2016	Petter Arnesen Håkon Tjelmeland	2
+	Some adaptive Monte Carlo methods for Bayesian inference	1999	Luke Tierney Antonietta Mira	2
+	Exact Sampling from a Continuous State Space	1998	D. Murdoch P. J. Green	2
+ PDF Chat	Posterior Sampling When the Normalizing Constant is Unknown	2011	Stephen G. Walker	2
+	Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review	1996	Mary Kathryn Cowles Bradley P. Carlin	2
+ PDF Chat	A multi-point Metropolis scheme with generic weight functions	2012	Luca Martino Victor Pascual Del Olmo Jesse Read	2
+	Bayes inference in regression models with ARMA (p, q) errors	1994	Siddhartha Chib Edward Greenberg	2
+	On Russian Roulette Estimates for Bayesian Inference with Doubly-Intractable Likelihoods	2015	Anne-Marie Lyne Mark Girolami Yves F. Atchadé Heiko Strathmann Daniel Simpson	2
+ PDF Chat	Bayesian computing with INLA: New features	2013	Thiago G. Martins Daniel Simpson Finn Lindgren Håvard Rue	2
+	Sampling from multimodal distributions using tempered transitions	1996	Radford M. Neal	2
+	Practical Markov Chain Monte Carlo	1992	Charles J. Geyer	2
+	Computational Bayesian Analysis of Hidden Markov Models	1998	Tobias Rydén D. M. Titterington	2
+ PDF Chat	Finite Exchangeable Sequences	1980	Persi Diaconis Darcy A. Freedman	2