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Incorporating uncertainty in design parameters: a hybrid classical-Bayesian power analysis approach for two-level cluster randomized trials
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Application of Bayesian methods in association mapping
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Clustering 16S rRNA sequences: an accurate and efficient approach
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Robust speaker clustering under variation in data characteristics
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Evaluating standard error estimators for multilevel models on small samples with heteroscedasticity and unbalanced cluster sizes
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Modeling the learner's attention and learning goals using Bayesian network
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Sharpening the edge of tools for microbial diversity analysis
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Noise benefits in expectation-maximization algorithms
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Probing the genetic basis of gene expression variation through Bayesian analysis of allelic imbalance and transcriptome studies of oil palm interspecies hybrids
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Functional brain imaging:  Combining EEG and  fMRI using finite element and Bayesian methods
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Object representation and magnetic moments in thin alkali films
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Characterization and discovery of genetic associations: multiethnic fine-mapping and incorporation of functional information
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Structure learning for manifolds and multivariate time series
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Gene-set based analysis using external prior information
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Modeling and analysis of nanostructure growth process kinetics and variations for scalable nanomanufacturing
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Learning contour statistics from natural images
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Discovery of complex pathways from observational data
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Exploiting latent reliability information for classification tasks
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Surface representations of rainfall at small extents: a study of rainfall mapping based on volunteered geographic information in Kona, Hawaii
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Quantile mediation models: methods for assessing mediation across the outcome distribution
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A structural econometric analysis of network and social interaction models
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An efficient approach to categorizing association rules
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Mobile robot obstacle avoidance using a computational model of the locust brain
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Exploration of parallelism for probabilistic graphical models
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Modeling mutational signatures in cancer
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