Cosmography with cluster strong lenses: the influence of substructure and line‐of‐sight haloes
D'Aloisio A, Natarajan P. Cosmography with cluster strong lenses: the influence of substructure and line‐of‐sight haloes. Monthly Notices Of The Royal Astronomical Society 2010, 411: 1628-1640. DOI: 10.1111/j.1365-2966.2010.17795.x.Peer-Reviewed Original ResearchDark energy equationCluster lensesMarkov chain Monte Carlo techniquesBayesian Markov chain Monte Carlo techniquesEnergy equationAngular diameter distanceMultiply imaged systemsScaling relationsMonte Carlo techniqueCluster member galaxiesPossible time variationUnbiased constraintsMonte Carlo simulationsTypical redshiftsCosmological parametersMember galaxiesModelling errorGalaxy clustersDiameter distanceDark energyBackground galaxiesCarlo techniqueMassive clustersSight structuresStrong lensingGene Selection for the Identification of Biomarkers in High- Throughput Data
Jeong J, Vannucci M, Do K, Broom B, Kim S, Sha N, Tadesse M, Yan K, Pusztai L. Gene Selection for the Identification of Biomarkers in High- Throughput Data. 2010, 259-280. DOI: 10.1201/ebk1420070170-14.Peer-Reviewed Original ResearchVariable selection methodsVariable selectionMarkov chain Monte Carlo techniquesBayesian variable selection methodLinear model settingLinear regression settingPosterior model probabilitiesHighest probability modelLatent binary vectorThousands of variablesMonte Carlo techniqueUnimportant covariatesLinear settingCost of measurementMixture priorsRegression settingModel probabilitiesOperator methodKey ideaRegression coefficientsBayesian approachCarlo techniqueBayesian methodsLikelihood approachProbability model
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