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Results 1 to 25 of 519

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Markov Chain Monte Carlo: an introduction for epidemiologistsHAMRA, Ghassan; MACLEHOSE, Richard; RICHARDSON, David et al.International journal of epidemiology. 2013, Vol 42, Num 2, pp 627-634, issn 0300-5771, 8 p.Article

Data-driven MCMC sampling for vision-based 6D SLAMMIN, J; KIM, J; SHIN, S et al.Electronics letters. 2012, Vol 48, Num 12, pp 687-689, issn 0013-5194, 3 p.Article

An MCMC algorithm for detecting short adjacent repeats shared by multiple sequencesQIWEI LI; XIAODAN FAN; TONG LIANG et al.Bioinformatics (Oxford. Print). 2011, Vol 27, Num 13, pp 1772-1779, issn 1367-4803, 8 p.Article

Assessing assessments of school performance: The case of CaliforniaTOBIAS, Justin L.The American statistician. 2004, Vol 58, Num 1, pp 55-63, issn 0003-1305, 9 p.Article

Phylogenetic MCMC algorithms are misleading on mixtures of treesMOSSEL, Elchanan; VIGODA, Eric.Science (Washington, D.C.). 2005, Vol 309, Num 5744, pp 2207-2209, issn 0036-8075, 3 p.Article

MCMC learning of bayesian network models by markov blanket decompositionRIGGELSEN, Carsten.Lecture notes in computer science. 2005, pp 329-340, issn 0302-9743, isbn 3-540-29243-8, 1Vol, 12 p.Conference Paper

An Integrated Monte Carlo Methodology for the calibration of water quality modelsMARTIN, C; AYESA, E.Ecological modelling. 2010, Vol 221, Num 22, pp 2656-2667, issn 0304-3800, 12 p.Article

On the approximation of one Markov chain by anotherJERRUM, Mark.Probability theory and related fields. 2006, Vol 135, Num 1, pp 1-14, issn 0178-8051, 14 p.Article

Inferential structure determinationRIEPING, Wolfgang; HABECK, Michael; NILGES, Michael et al.Science (Washington, D.C.). 2005, Vol 309, Num 5732, pp 303-306, issn 0036-8075, 4 p.Article

Balanced classifiers and their fusionXIUYANG YU; KOBER, Woody; SCHARF, Louis et al.Proceedings of SPIE, the International Society for Optical Engineering. 2005, pp 241-248, issn 0277-786X, isbn 0-8194-5792-2, 1Vol, 8 p.Conference Paper

A multi-move sampler for estimating non-gaussian time series models: Comments on Shephard & Pitt (1997)WATANABE, Y. Toshiaki; OMORI, Yasuhiro.Biometrika. 2004, Vol 91, Num 1, pp 246-248, issn 0006-3444, 3 p.Article

Bayesian analysis of population PK/PD models: General concepts and softwareLUNN, David J; BEST, Nicky; THOMAS, Andrew et al.Journal of pharmacokinetics and pharmacodynamics (Print). 2002, Vol 29, Num 3, pp 271-307, issn 1567-567X, 37 p.Article

Fitting a Distribution to Censored Contamination Data Using Markov Chain Monte Carlo Methods and Samples Selected with Unequal ProbabilitiesWILLIAMS, Michael S; EBEL, Eric D.Environmental science & technology. 2014, Vol 48, Num 22, pp 13316-13322, issn 0013-936X, 7 p.Article

Performance of maximum parsimony and likelihood phylogenetics when evolution is heterogeneousKOLACZKOWSKI, Bryan; THORNTON, Joseph W.Nature (London). 2004, Vol 431, Num 7011, pp 980-984, issn 0028-0836, 5 p.Article

Asymptotic variance and convergence rates of nearly-periodic Markov chain Monte Carlo algorithmsROSENTHAL, Jeffrey S.Journal of the American Statistical Association. 2003, Vol 97, Num 461, pp 169-177, issn 0162-1459, 9 p.Article

Yield improvement using statistical analysis of process datesBERGERET, Francois; LE GALL, Caroline.IEEE transactions on semiconductor manufacturing. 2003, Vol 16, Num 3, pp 535-542, issn 0894-6507, 8 p.Article

Multiple imputation: Theory and methodZHANG, Paul.International statistical review. 2003, Vol 71, Num 3, pp 581-592, issn 0306-7734, 12 p.Article

Improving the acceptance rate of reversible jump MCMC proposalsAL-AWADHI, Fahimah; HUM, Merrilee; JENNISON, Christopher et al.Statistics & probability letters. 2004, Vol 69, Num 2, pp 189-198, issn 0167-7152, 10 p.Article

Monte carlo methods for signal processing : Recent advancesDJURIC, Petar M.EUSIPCO. Conference. 2004, isbn 3-200-00148-8, 3Vol, volII, 853-860Conference Paper

Using a parallelized MCMC algorithm in R to identify appropriate likelihood functions for SWATJOSEPH, J. F; GUILLAUME, J. H. A.Environmental modelling & software. 2013, Vol 46, pp 292-298, issn 1364-8152, 7 p.Article

Statistical Analysis of Chemical Transformation Kinetics Using Markov-Chain Monte Carlo MethodsGÖRLITZ, Linus; ZHENGLEI GAO; SCHMITT, Walter et al.Environmental science & technology. 2011, Vol 45, Num 10, pp 4429-4437, issn 0013-936X, 9 p.Article

Generalizing Swendsen-Wang to sampling arbitrary posterior probabilitiesBARBU, Adrian; ZHU, Song-Chun.IEEE transactions on pattern analysis and machine intelligence. 2005, Vol 27, Num 8, pp 1239-1253, issn 0162-8828, 15 p.Article

The construction of carbonate digital rock with hybrid superposition methodJUN YAO; CHENCHEN WANG; YONGFEI YANG et al.Journal of petroleum science & engineering. 2013, Vol 110, pp 263-267, issn 0920-4105, 5 p.Article

Application of Markov Chain Monte Carlo Random Testing to Test Case Prioritization in Regression Testing : Software Reliability EngineeringZHOU, Bo; OKAMURA, Hiroyuki; DOHI, Tadashi et al.IEICE transactions on information and systems. 2012, Vol 95, Num 9, pp 2219-2226, issn 0916-8532, 8 p.Article

Expectation Propagation for microarray data classificationHERNANDEZ-LOBATO, Daniel; HERNANDEZ-LOBATO, José Miguel; SUAREZ, Alberto et al.Pattern recognition letters. 2010, Vol 31, Num 12, pp 1618-1626, issn 0167-8655, 9 p.Article

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