Search results for "RJ-MCMC"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
89	Wonsik Kim, Joonyoung Park, Kyoung Mu Lee	Stereo Matching Using Population-Based MCMC.	Int. J. Comput. Vis.	2009	DBLP DOI BibTeX RDF	Population-based MCMC, Stereo, Energy minimization
89	Christophe Andrieu, Yves F. Atchadé	On the efficiency of adaptive MCMC algorithms.	VALUETOOLS	2006	DBLP DOI BibTeX RDF	adaptive Markov chains, coupling, Markov chain Monte Carlo, stochastic approximation, MCMC, rate of convergence, metropolis algorithm
85	Christophe Andrieu, Johannes Thoms	A tutorial on adaptive MCMC.	Stat. Comput.	2008	DBLP DOI BibTeX RDF	Adaptive MCMC, Controlled Markov chain, Stochastic approximation, MCMC
67	Marco Grzegorczyk, Dirk Husmeier	Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move.	Mach. Learn.	2008	DBLP DOI BibTeX RDF	MCMC sampling, Bayesian networks, Structure learning
59	Joonyoung Park, Wonsik Kim, Kyoung Mu Lee	Stereo Matching Using Population-Based MCMC.	ACCV (2)	2007	DBLP DOI BibTeX RDF
59	István Miklós, Timothy Brooks Paige, Péter Ligeti	Efficient Sampling of Transpositions and Inverted Transpositions for Bayesian MCMC.	WABI	2006	DBLP DOI BibTeX RDF
59	Carsten Riggelsen	MCMC Learning of Bayesian Network Models by Markov Blanket Decomposition.	ECML	2005	DBLP DOI BibTeX RDF
56	Xin He, Brian S. Caffo, Eric C. Frey	Toward Realistic and Practical Ideal Observer (IO) Estimation for the Optimization of Medical Imaging Systems.	IEEE Trans. Medical Imaging	2008	DBLP DOI BibTeX RDF
56	Cajo J. F. ter Braak	A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution: easy Bayesian computing for real parameter spaces.	Stat. Comput.	2006	DBLP DOI BibTeX RDF	Block updating, Evolutionary Monte Carlo, Population Markov Chain Monte Carlo, Simulated Tempering, Theophylline Kinetics, Simulated Annealing, Metropolis algorithm
56	Madalina M. Drugan, Dirk Thierens	Evolutionary Markov Chain Monte Carlo.	Artificial Evolution	2003	DBLP DOI BibTeX RDF
55	Ramesh Ram, Madhu Chetty	MCMC Based Bayesian Inference for Modeling Gene Networks.	PRIB	2009	DBLP DOI BibTeX RDF	Bayesian network, parameter estimation, gene expression, MCMC
55	José G. Dias, Michel Wedel	An empirical comparison of EM, SEM and MCMC performance for problematic Gaussian mixture likelihoods.	Stat. Comput.	2004	DBLP DOI BibTeX RDF	SEM algorithm, hierarchical prior, EM algorithm, Gaussian mixture models, MCMC, loss functions, label switching, conjugate prior
52	Sang Min Oh, James M. Rehg, Tucker R. Balch, Frank Dellaert	Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems.	Int. J. Comput. Vis.	2008	DBLP DOI BibTeX RDF	Trajectory analysis, Time-series, MCMC, Probabilistic graphical models, Biology, Behavior recognition
48	Paul Fearnhead	Computational methods for complex stochastic systems: a review of some alternatives to MCMC.	Stat. Comput.	2008	DBLP DOI BibTeX RDF	Particle filter, Diffusions, Importance sampling, Missing data, Forward-backward algorithm, Population genetics
48	Iker Zuriarrain, Frédéric Lerasle, Nestor Arana-Arejolaleiba, Michel Devy	An MCMC-based particle filter for multiple person tracking.	ICPR	2008	DBLP DOI BibTeX RDF
48	Jonathan M. R. Byrd, Stephen A. Jarvis, Abhir H. Bhalerao	Reducing the run-time of MCMC programs by multithreading on SMP architectures.	IPDPS	2008	DBLP DOI BibTeX RDF
48	Katrin Sommer, Claus Weihs	Using MCMC as a Stochastic Optimization Procedure for Monophonic and Polyphonic Sound.	GfKl	2006	DBLP DOI BibTeX RDF
48	Zia Khan, Tucker R. Balch, Frank Dellaert	MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets.	IEEE Trans. Pattern Anal. Mach. Intell.	2005	DBLP DOI BibTeX RDF	Markov random fields, Particle filters, Markov chain Monte Carlo, multitarget tracking
48	Jing Tian 0002, Kai-Kuang Ma	A MCMC approach for Bayesian super-resolution image reconstruction.	ICIP (1)	2005	DBLP DOI BibTeX RDF
45	Jing Tian 0002, Kai-Kuang Ma	Super-resolution Imaging Using Grid Computing.	CCGRID	2007	DBLP DOI BibTeX RDF
45	Yongtao Guan, Roland Fleißner, Paul Joyce, Stephen M. Krone	Markov Chain Monte Carlo in small worlds.	Stat. Comput.	2006	DBLP DOI BibTeX RDF	Proposal distributions, Markov Chain Monte Carlo, Importance sampling, Small-world networks, Metropolis-Hastings algorithm
45	Behrouz Farhang-Boroujeny, Haidong Zhu, Zhenning Shi	Markov chain Monte Carlo algorithms for CDMA and MIMO communication systems.	IEEE Trans. Signal Process.	2006	DBLP DOI BibTeX RDF
45	Stefanos G. Giakoumatos, Petros Dellaportas, Dimitris Nicolas Politis	Bayesian analysis of the unobserved ARCH model.	Stat. Comput.	2005	DBLP DOI BibTeX RDF	ARCH components, Markov chain Monte Carlo, GARCH, auxiliary variables
45	Lars Arvestad, Ann-Charlotte Berglund, Jens Lagergren, Bengt Sennblad	Gene tree reconstruction and orthology analysis based on an integrated model for duplications and sequence evolution.	RECOMB	2004	DBLP DOI BibTeX RDF	gene tree, orthology, algorithms, bayesian analysis, reconciliation
44	Yanan Fan, Gareth W. Peters, Scott A. Sisson	Automating and evaluating reversible jump MCMC proposal distributions.	Stat. Comput.	2009	DBLP DOI BibTeX RDF	Between-model mappings, Path sampling, Transdimensional MCMC, Markov chain Monte Carlo, Density estimation, Reversible jump
44	Huaizhong Zhang, E. Patricia Rodriguez, Philip J. Morrow, Sally I. McClean, Kurt Saetzler	MCMC-Based Algorithm to Adjust Scale Bias in Large Series of Electron Microscopical Ultrathin Sections.	CAIP	2009	DBLP DOI BibTeX RDF	scale bias, image registration, hierarchical model, stochastic simulation, MCMC
41	Tao Pei, Ajay Jasra, David J. Hand, A-Xing Zhu, Chenghu Zhou	DECODE: a new method for discovering clusters of different densities in spatial data.	Data Min. Knowl. Discov.	2009	DBLP DOI BibTeX RDF	Data mining, Nearest neighbor, MCMC, Point process, Earthquake, Reversible jump
41	Yuan Ren 0002, Yu Ding 0002, Faming Liang	Adaptive evolutionary Monte Carlo algorithm for optimization with applications to sensor placement problems.	Stat. Comput.	2008	DBLP DOI BibTeX RDF	Adaptive MCMC, Evolutionary Monte Carlo, Data mining, Global optimization
41	Kuo-ching Liang, Xiaodong Wang 0001, Dimitris Anastassiou	Bayesian Basecalling for DNA Sequence Analysis Using Hidden Markov Models.	IEEE ACM Trans. Comput. Biol. Bioinform.	2007	DBLP DOI BibTeX RDF	Markov chain Monte Carlo (MCMC), electropherogram, basecalling, hidden Markov model (HMM), DNA sequencing
41	David J. Allcroft, Chris A. Glasbey	A Spectral Estimator of Arma Parameters from Thresholded Data.	Stat. Comput.	2002	DBLP DOI BibTeX RDF	ARMA process, censoring, cow feeding data, spectral likelihood, tetrachoric correlation, simulation, MCMC
41	Heikki Mannila, Marko Salmenkivi	Finding simple intensity descriptions from event sequence data.	KDD	2001	DBLP DOI BibTeX RDF	intensity modeling, MCMC, event sequence
37	Ryo Kurazume, Hiroyuki Yamada, Kouji Murakami, Yumi Iwashita, Tsutomu Hasegawa	Target tracking using SIR and MCMC particle filters by multiple cameras and laser range finders.	IROS	2008	DBLP DOI BibTeX RDF
37	Kenichi Kurihara, Tsuyoshi Murata, Taisuke Sato	Identification of MCMC Samples for Clustering.	LKR	2008	DBLP DOI BibTeX RDF
37	Mark Fleischer	Transformations for accelerating MCMC simulations with broken ergodicity.	WSC	2007	DBLP DOI BibTeX RDF
37	Xiaosi Zhan, Zhaocai Sun, Yilong Yin, Yun Chen	Fingerprint Image Segmentation Method Based on MCMC&GA.	ICIAP	2005	DBLP DOI BibTeX RDF
37	Timo Kostiainen, Jouko Lampinen	Efficient proposal distributions for MCMC image segmentation.	ICIP	2004	DBLP DOI BibTeX RDF
37	Mun Wai Lee, Isaac Cohen	Proposal Maps Driven MCMC for Estimating Human Body Pose in Static Images.	CVPR (2)	2004	DBLP DOI BibTeX RDF
37	Harvey D. Thornburg, Randal J. Leistikow	A New Probabilistic Spectral Pitch Estimator: Exact and MCMC-approximate Strategies.	CMMR	2004	DBLP DOI BibTeX RDF
37	Zia Khan, Tucker R. Balch, Frank Dellaert	An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets.	ECCV (4)	2004	DBLP DOI BibTeX RDF
37	Malcolm J. A. Strens	Efficient hierarchical MCMC for policy search.	ICML	2004	DBLP DOI BibTeX RDF
37	Jarkko Venna, Samuel Kaski, Jaakko Peltonen	Visualizations for Assessing Convergence and Mixing of MCMC.	ECML	2003	DBLP DOI BibTeX RDF
37	Aki Vehtari, Simo Särkkä, Jouko Lampinen	On MCMC Sampling in Bayesian MLP Neural Networks.	IJCNN (1)	2000	DBLP DOI BibTeX RDF
34	Clare A. McGrory, D. M. Titterington, R. Reeves, Anthony N. Pettitt	Variational Bayes for estimating the parameters of a hidden Potts model.	Stat. Comput.	2009	DBLP DOI BibTeX RDF	Potts/Ising model, Hidden Markov random field, Variational approximation, Pseudo-likelihood, Reduced dependence approximation, Bayesian inference
34	Nathan Kitchen, Andreas Kuehlmann	A Markov Chain Monte Carlo Sampler for Mixed Boolean/Integer Constraints.	CAV	2009	DBLP DOI BibTeX RDF
34	Tetsuya Takaishi	An Adaptive Markov Chain Monte Carlo Method for GARCH Model.	Complex (2)	2009	DBLP DOI BibTeX RDF	GARCH model, Bayesian inference, Markov Chain Monte Carlo, Metropolis-Hastings algorithm
34	Takumi Hirata, Hiroyuki Okamura, Tadashi Dohi	A Bayesian Inference Tool for NHPP-Based Software Reliability Assessment.	FGIT	2009	DBLP DOI BibTeX RDF
34	Jonathan M. Keith, Dirk P. Kroese, George Y. Sofronov	Adaptive independence samplers.	Stat. Comput.	2008	DBLP DOI BibTeX RDF	Generalized Markov sampler, Markov chain Monte Carlo, Comparative genomics, Cross-entropy, Adaptive methods
34	Vitaly Schetinin, Wojtek J. Krzanowski, Carsten Maple	The Bayesian Decision Tree Technique Using an Adaptive Sampling Scheme.	CBMS	2007	DBLP DOI BibTeX RDF
34	Robert G. Aykroyd, Brian A. Cattle	A flexible statistical and efficient computational approach to object location applied to electrical tomography.	Stat. Comput.	2006	DBLP DOI BibTeX RDF	Electrical tomography, Markov chain Monte Carlo, Inverse problems, Boundary element methods, Bayesian statistics
34	Madalina M. Drugan, Dirk Thierens	Recombinative EMCMC algorithms.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
34	Xiaosi Zhan, Zhaocai Sun, Yilong Yin, Yun Chen	A Method Based on the Markov Chain Monte Carlo for Fingerprint Image Segmentation.	FSKD (2)	2005	DBLP DOI BibTeX RDF
34	David M. Blei, Michael I. Jordan	Variational methods for the Dirichlet process.	ICML	2004	DBLP DOI BibTeX RDF
34	Philip H. S. Torr, Colin Davidson	IMPSAC: Synthesis of Importance Sampling and Random Sample Consensus.	IEEE Trans. Pattern Anal. Mach. Intell.	2003	DBLP DOI BibTeX RDF	structure from motion, importance sampling, Bayesian methods, stereoscopic vision
34	Xiaodong Wang, Rong Chen, Jun S. Liu	Monte Carlo Bayesian Signal Processing for Wireless Communications.	J. VLSI Signal Process.	2002	DBLP DOI BibTeX RDF
33	Jukka Corander, Magnus Ekdahl, Timo Koski	Parallell interacting MCMC for learning of topologies of graphical models.	Data Min. Knowl. Discov.	2008	DBLP DOI BibTeX RDF	Equivalence search, Learning graphical models, MCMC
30	Nikolaj Tatti	Probably the best itemsets.	KDD	2010	DBLP DOI BibTeX RDF	bayesian model selection, decomposable models, exponential models, MCMC, junction tree, itemset mining
30	Manas Somaiya, Christopher M. Jermaine, Sanjay Ranka	Mixture models for learning low-dimensional roles in high-dimensional data.	KDD	2010	DBLP DOI BibTeX RDF	mixture models, mcmc, high-dimensional data
30	John Thomas, Naren Ramakrishnan, Chris Bailey-Kellogg	Protein Design by Sampling an Undirected Graphical Model of Residue Constraints.	IEEE ACM Trans. Comput. Biol. Bioinform.	2009	DBLP DOI BibTeX RDF	residue coupling, Markov chain Monte Carlo (MCMC), graphical models, Protein design
30	Benjamin Perret, Vincent Mazet, Christophe Collet 0001, Éric Slezak	Galaxy Decomposition in Multispectral Images Using Markov Chain Monte Carlo Algorithms.	SCIA	2009	DBLP DOI BibTeX RDF	multispectral image processing, galaxy classification, Bayesian inference, MCMC
30	Richard J. Boys, Darren J. Wilkinson, Thomas B. L. Kirkwood	Bayesian inference for a discretely observed stochastic kinetic model.	Stat. Comput.	2008	DBLP DOI BibTeX RDF	Biochemical networks, Block updating, Lotka-Volterra model, Markov jump process, MCMC methods, Parameter estimation, Systems biology, Reversible jump
30	Loukia Meligkotsidou	Bayesian multivariate Poisson mixtures with an unknown number of components.	Stat. Comput.	2007	DBLP DOI BibTeX RDF	Disease mapping, Multivariate Poisson distribution, Mixture models, Bayesian inference, Reversible jump MCMC
30	Zhiguang Shi, Jianxiong Zhou, HongZhong Zhao, Qiang Fu	Study on joint Bayesian model selection and parameter estimation method of GTD model.	Sci. China Ser. F Inf. Sci.	2007	DBLP DOI BibTeX RDF	RJ-MCMC, GTD model, scattering centers, model order selection, CRB, parameter estimation, ESPRIT
30	Mathias Ortner, Xavier Descombes, Josiane Zerubia	Building Outline Extraction from Digital Elevation Models Using Marked Point Processes.	Int. J. Comput. Vis.	2007	DBLP DOI BibTeX RDF	inhomogeneous Poisson point process, dense urban area, laser data, land register, RJMCMC, image processing, simulated annealing, MCMC, stochastic geometry, digital elevation models, building detection
30	Andrew Golightly, Darren J. Wilkinson	Bayesian sequential inference for nonlinear multivariate diffusions.	Stat. Comput.	2006	DBLP DOI BibTeX RDF	Nonlinear stochastic differential equation, Particle filter, Bayesian inference, MCMC
30	Paul Fearnhead	Exact and efficient Bayesian inference for multiple changepoint problems.	Stat. Comput.	2006	DBLP DOI BibTeX RDF	Model choice, Well-log data, Perfect simulation, Forward-backward algorithm, Bayes factor, Reversible jump MCMC
30	Craig C. Douglas, Yalchin Efendiev, Richard E. Ewing, Victor Ginting, Raytcho D. Lazarov	Dynamic Data Driven Simulations in Stochastic Environments.	Computing	2006	DBLP DOI BibTeX RDF	porous media flow, DDDAS, uncertainty, MCMC, permeability
30	Kevin Smith 0001, Sileye O. Ba, Daniel Gatica-Perez, Jean-Marc Odobez	Tracking the multi person wandering visual focus of attention.	ICMI	2006	DBLP DOI BibTeX RDF	head pose tracking, multi-person tracking, MCMC
30	Peter Neal, Gareth Roberts	A case study in non-centering for data augmentation: Stochastic epidemics.	Stat. Comput.	2005	DBLP DOI BibTeX RDF	stochastic epidemic models, bernoulli random graphs, non-centered and partially non-centered MCMC algorithms, data augmentation
30	Daniel Gatica-Perez, Guillaume Lathoud, Jean-Marc Odobez, Iain McCowan	Multimodal multispeaker probabilistic tracking in meetings.	ICMI	2005	DBLP DOI BibTeX RDF	audio-visual speaker tracking, particle filters, MCMC
29	Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu	MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC.	ICLR	2022	DBLP BibTeX RDF
29	Masayoshi Takahashi	Statistical Inference in Missing Data by MCMC and Non-MCMC Multiple Imputation Algorithms: Assessing the Effects of Between-Imputation Iterations.	Data Sci. J.	2017	DBLP DOI BibTeX RDF
29	Tianfan Fu, Zhihua Zhang	CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC.	AISTATS	2017	DBLP BibTeX RDF
29	Florian Stimberg	Flexible birth-death MCMC sampler for changepoint models (Flexibler Birth-Death MCMC Sampler für Changepoint-Modelle)		2016	RDF
26	Qingping Tao, Stephen D. Scott 0001	Improved MCMC sampling methods for estimating weighted sums in Winnow with application to DNF learning.	Mach. Learn.	2008	DBLP DOI BibTeX RDF	Markov chain Monte Carlo, DNF, Winnow
26	Tom E. Bishop, Rafael Molina 0001, James R. Hopgood	Blind restoration of blurred photographs via AR modelling and MCMC.	ICIP	2008	DBLP DOI BibTeX RDF
26	Jun Yan 0002, Mary Kathryn Cowles, Shaowen Wang, Marc P. Armstrong	Parallelizing MCMC for Bayesian spatiotemporal geostatistical models.	Stat. Comput.	2007	DBLP DOI BibTeX RDF	Parallel computing, Bayesian inference, Markov chain Monte Carlo, Spatial modeling
26	Olivier Rabaste, Thierry Chonavel	Estimation of Multipath Channels With Long Impulse Response at Low SNR via an MCMC Method.	IEEE Trans. Signal Process.	2007	DBLP DOI BibTeX RDF
26	Adam Bowen, Andrew Mullins, Roland Wilson, Nasir M. Rajpoot	Surface Estimation and Tracking using Sequential MCMC Methods for Video Based Rendering.	ICIP (2)	2007	DBLP DOI BibTeX RDF
26	Tatsuya Osawa, Xiaojun Wu, Kyoko Sudo, Kaoru Wakabayashi, Hiroyuki Arai, Takayuki Yasuno	MCMC based multi-body tracking using full 3D model of both target and environment.	AVSS	2007	DBLP DOI BibTeX RDF
26	Ayres C. Fan, John W. Fisher III, William M. Wells III, James J. Levitt, Alan S. Willsky	MCMC Curve Sampling for Image Segmentation.	MICCAI (2)	2007	DBLP DOI BibTeX RDF
26	Zia Khan, Tucker R. Balch, Frank Dellaert	MCMC Data Association and Sparse Factorization Updating for Real Time Multitarget Tracking with Merged and Multiple Measurements.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	downdating, merged measurements, particle filter, updating, Markov chain Monte Carlo, QR factorization, multitarget tracking, Rao-Blackwellized, linear least squares, laser range scanner
26	Despina Kontos, Vasileios Megalooikonomou, Marc J. Sobel, Qiang Wang 0010	An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data.	SSPR/SPR	2004	DBLP DOI BibTeX RDF
26	Mitsuru Kondo, Daigo Muramatsu, Masahiro Sasaki, Takashi Matsumoto 0001	A Bayesian MCMC On-line Signature Verification.	AVBPA	2003	DBLP DOI BibTeX RDF
26	Petros Dellaportas, Jonathan J. Forster, Ioannis Ntzoufras	On Bayesian model and variable selection using MCMC.	Stat. Comput.	2002	DBLP DOI BibTeX RDF	independence sampler, Gibbs sampler, reversible jump, Metropolis-Hastings
26	Mary Kathryn Cowles	MCMC Sampler Convergence Rates for Hierarchical Normal Linear Models: A Simulation Approach.	Stat. Comput.	2002	DBLP DOI BibTeX RDF	agricultural field trials, total variation distance, Bayesian models, Gibbs sampler
26	Darren J. Wilkinson, Stephen K. H. Yeung	Conditional simulation from highly structured Gaussian systems, with application to blocking-MCMC for the Bayesian analysis of very large linear models.	Stat. Comput.	2002	DBLP DOI BibTeX RDF	block sampling, linear Bayes models, nested hierarchical random effects, DAG propagation, local computation
26	Anthony R. Dick, Philip H. S. Torr, Roberto Cipolla	A Bayesian Estimation of Building Shape Using MCMC.	ECCV (2)	2002	DBLP DOI BibTeX RDF
26	Nicos Angelopoulos, James Cussens	Prolog Issues and Experimental Results of an MCMC Algorithm.	INAP (LNCS Volume)	2001	DBLP DOI BibTeX RDF
26	Paolo Magni, Riccardo Bellazzi, Giuseppe De Nicolao	Bayesian Function Learning Using MCMC Methods.	IEEE Trans. Pattern Anal. Mach. Intell.	1998	DBLP DOI BibTeX RDF	dynamic systems, smoothing, inverse problems, system identification, Bayesian estimation, Markov chain Monte Carlo methods
23	Michael A. Chappell, Adrian R. Groves, Brandon J. Whitcher, Mark William Woolrich	Variational Bayesian Inference for a Nonlinear Forward Model.	IEEE Trans. Signal Process.	2009	DBLP DOI BibTeX RDF
23	Shuji Kijima, Tomomi Matsui	Randomized approximation scheme and perfect sampler for closed Jackson networks with multiple servers.	Ann. Oper. Res.	2008	DBLP DOI BibTeX RDF	Fully polynomial-time randomized approximation scheme, Queueing network, Markov chain Monte Carlo, Perfect simulation, Product form solution
23	Nicos Angelopoulos, James Cussens	Bayesian learning of Bayesian networks with informative priors.	Ann. Math. Artif. Intell.	2008	DBLP DOI BibTeX RDF	Mathematics Subject Classifications (2000) 68T05, 68T27
23	Kenji Nagata, Sumio Watanabe	Exchange Monte Carlo Sampling From Bayesian Posterior for Singular Learning Machines.	IEEE Trans. Neural Networks	2008	DBLP DOI BibTeX RDF
23	Sebastian Höhna, Michael Defoin-Platel, Alexei J. Drummond	Clock-constrained tree proposal operators in Bayesian phylogenetic inference.	BIBE	2008	DBLP DOI BibTeX RDF
23	Yu-Chi Lai, Feng Liu 0015, Li Zhang, Charles R. Dyer	Efficient Schemes for Monte Carlo Markov Chain Algorithms in Global Illumination.	ISVC (1)	2008	DBLP DOI BibTeX RDF
23	Thomas Peyret, Kannan Krishnan	Markov chain Monte Carlo simulation of biomonitoring in humans: application to biomarkers of chronic exposure to alkyl benzenes in the environment.	SpringSim	2008	DBLP DOI BibTeX RDF	PBPK modeling, alkyl benzenes, steady-state pharmacokinetics, Markov chain Monte Carlo, Bayesian analysis
23	Peter C. Richter	The Quantum Complexity of Markov Chain Monte Carlo.	CiE	2008	DBLP DOI BibTeX RDF
23	Craig K. Abbey, John M. Boone	An Ideal Observer for a Model of X-Ray Imaging in Breast Parenchymal Tissue.	Digital Mammography / IWDM	2008	DBLP DOI BibTeX RDF	Ideal observer, binary texture, breast CT, screening mammography
23	Trevor C. Bailey, Richard M. Everson, Jonathan E. Fieldsend, Wojtek J. Krzanowski, Derek Partridge, Vitaly Schetinin	Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases.	Neural Comput. Appl.	2007	DBLP DOI BibTeX RDF
23	Øivind Skare, Jesper Møller, Eva Bjørn Vedel Jensen	Bayesian analysis of spatial point processes in the neighbourhood of Voronoi networks.	Stat. Comput.	2007	DBLP DOI BibTeX RDF	Delaunay tessellation, Inhomogeneous point processes, Bayesian inference, Markov chain Monte Carlo, Voronoi tessellation, Poisson process